El objetivo de este documento es probar una red bayesiana para realizar predicción sobre los datos de sensores. Para ello aprendemos una red bayesiana y ajustamos sus parámetros, considerando los datos de entrada como continuos (no realizamos discretización), por eso veremos que se samplean la distribución de cada nodo/variable a una gaussiana. El dataset utilizado es de valores diarios de cuatro estaciones meteorologicas del DACC. Las variables diarias son: temperatura (máxima, minima y media), y humedad (maxima, minima y media)

5/10/2017 PROBAR ESTE CODIGO Y TAMBIEN GENERACION HTML ### Preprocesando el dataset

source("bnlearn-utils.R")
## 
## Attaching package: 'bnlearn'
## The following object is masked from 'package:stats':
## 
##     sigma
set.seed(147)
library(readr)
sensores <- read_csv("~/phd-repos/tmin/bnlearn/data/sensores.csv")
## Warning: Missing column names filled in: 'X1' [1]
## Parsed with column specification:
## cols(
##   .default = col_double(),
##   X1 = col_datetime(format = "")
## )
## See spec(...) for full column specifications.

Variables del dataset

colnames(sensores)
##   [1] "X1"              "S10.max"         "S11.max"        
##   [4] "S12.max"         "S13.max"         "S14.max"        
##   [7] "S15.max"         "S16.max"         "S17.max"        
##  [10] "S18.max"         "S19.max"         "S1.max"         
##  [13] "S20.max"         "S2.max"          "S3.max"         
##  [16] "S4.max"          "S5.max"          "S6.max"         
##  [19] "S7.max"          "S8.max"          "S9.max"         
##  [22] "S10.media"       "S11.media"       "S12.media"      
##  [25] "S13.media"       "S14.media"       "S15.media"      
##  [28] "S16.media"       "S17.media"       "S18.media"      
##  [31] "S19.media"       "S1.media"        "S20.media"      
##  [34] "S2.media"        "S3.media"        "S4.media"       
##  [37] "S5.media"        "S6.media"        "S7.media"       
##  [40] "S8.media"        "S9.media"        "S10.min"        
##  [43] "S11.min"         "S12.min"         "S13.min"        
##  [46] "S14.min"         "S15.min"         "S16.min"        
##  [49] "S17.min"         "S18.min"         "S19.min"        
##  [52] "S1.min"          "S20.min"         "S2.min"         
##  [55] "S3.min"          "S4.min"          "S5.min"         
##  [58] "S6.min"          "S7.min"          "S8.min"         
##  [61] "S9.min"          "S10.15hs"        "S11.15hs"       
##  [64] "S12.15hs"        "S13.15hs"        "S14.15hs"       
##  [67] "S15.15hs"        "S16.15hs"        "S17.15hs"       
##  [70] "S18.15hs"        "S19.15hs"        "S1.15hs"        
##  [73] "S20.15hs"        "S2.15hs"         "S3.15hs"        
##  [76] "S4.15hs"         "S5.15hs"         "S6.15hs"        
##  [79] "S7.15hs"         "S8.15hs"         "S9.15hs"        
##  [82] "S10.12hs"        "S11.12hs"        "S12.12hs"       
##  [85] "S13.12hs"        "S14.12hs"        "S15.12hs"       
##  [88] "S16.12hs"        "S17.12hs"        "S18.12hs"       
##  [91] "S19.12hs"        "S1.12hs"         "S20.12hs"       
##  [94] "S2.12hs"         "S3.12hs"         "S4.12hs"        
##  [97] "S5.12hs"         "S6.12hs"         "S7.12hs"        
## [100] "S8.12hs"         "S9.12hs"         "S10.18hs"       
## [103] "S11.18hs"        "S12.18hs"        "S13.18hs"       
## [106] "S14.18hs"        "S15.18hs"        "S16.18hs"       
## [109] "S17.18hs"        "S18.18hs"        "S19.18hs"       
## [112] "S1.18hs"         "S20.18hs"        "S2.18hs"        
## [115] "S3.18hs"         "S4.18hs"         "S5.18hs"        
## [118] "S6.18hs"         "S7.18hs"         "S8.18hs"        
## [121] "S9.18hs"         "Est.humedad_min" "Est.humedad_med"
## [124] "Est.humedad_max" "Est.temp_min"    "Est.temp_max"   
## [127] "Est.temp_med"

Una vista breve

head(sensores)
## # A tibble: 6 x 127
##                    X1 S10.max S11.max S12.max S13.max S14.max S15.max
##                <dttm>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>   <dbl>
## 1 2013-09-07 23:00:41    31.0    30.0    32.0    31.5    32.0    31.0
## 2 2013-09-08 23:00:41    30.5    29.5    31.5    30.5    31.0    30.0
## 3 2013-09-09 23:00:41    34.0    32.5    34.0    34.0    34.0    33.5
## 4 2013-09-10 23:00:41    35.5    35.0    36.0    36.0    35.5    35.0
## 5 2013-09-11 23:00:41    24.5    24.0    24.5    24.5    24.0    24.5
## 6 2013-09-12 23:00:41    10.5    10.0    11.0    11.0    11.0    10.5
## # ... with 120 more variables: S16.max <dbl>, S17.max <dbl>,
## #   S18.max <dbl>, S19.max <dbl>, S1.max <dbl>, S20.max <dbl>,
## #   S2.max <dbl>, S3.max <dbl>, S4.max <dbl>, S5.max <dbl>, S6.max <dbl>,
## #   S7.max <dbl>, S8.max <dbl>, S9.max <dbl>, S10.media <dbl>,
## #   S11.media <dbl>, S12.media <dbl>, S13.media <dbl>, S14.media <dbl>,
## #   S15.media <dbl>, S16.media <dbl>, S17.media <dbl>, S18.media <dbl>,
## #   S19.media <dbl>, S1.media <dbl>, S20.media <dbl>, S2.media <dbl>,
## #   S3.media <dbl>, S4.media <dbl>, S5.media <dbl>, S6.media <dbl>,
## #   S7.media <dbl>, S8.media <dbl>, S9.media <dbl>, S10.min <dbl>,
## #   S11.min <dbl>, S12.min <dbl>, S13.min <dbl>, S14.min <dbl>,
## #   S15.min <dbl>, S16.min <dbl>, S17.min <dbl>, S18.min <dbl>,
## #   S19.min <dbl>, S1.min <dbl>, S20.min <dbl>, S2.min <dbl>,
## #   S3.min <dbl>, S4.min <dbl>, S5.min <dbl>, S6.min <dbl>, S7.min <dbl>,
## #   S8.min <dbl>, S9.min <dbl>, S10.15hs <dbl>, S11.15hs <dbl>,
## #   S12.15hs <dbl>, S13.15hs <dbl>, S14.15hs <dbl>, S15.15hs <dbl>,
## #   S16.15hs <dbl>, S17.15hs <dbl>, S18.15hs <dbl>, S19.15hs <dbl>,
## #   S1.15hs <dbl>, S20.15hs <dbl>, S2.15hs <dbl>, S3.15hs <dbl>,
## #   S4.15hs <dbl>, S5.15hs <dbl>, S6.15hs <dbl>, S7.15hs <dbl>,
## #   S8.15hs <dbl>, S9.15hs <dbl>, S10.12hs <dbl>, S11.12hs <dbl>,
## #   S12.12hs <dbl>, S13.12hs <dbl>, S14.12hs <dbl>, S15.12hs <dbl>,
## #   S16.12hs <dbl>, S17.12hs <dbl>, S18.12hs <dbl>, S19.12hs <dbl>,
## #   S1.12hs <dbl>, S20.12hs <dbl>, S2.12hs <dbl>, S3.12hs <dbl>,
## #   S4.12hs <dbl>, S5.12hs <dbl>, S6.12hs <dbl>, S7.12hs <dbl>,
## #   S8.12hs <dbl>, S9.12hs <dbl>, S10.18hs <dbl>, S11.18hs <dbl>,
## #   S12.18hs <dbl>, S13.18hs <dbl>, S14.18hs <dbl>, S15.18hs <dbl>, ...

Cantidad de filas y columnas

cat("Rows: ",nrow(sensores)," Columns: ",ncol(sensores))
## Rows:  465  Columns:  127

como denomino a las variables que quiero predecir

pred_sensores = c("S10.min_t","S11.min_t","S12.min_t","S13.min_t","S14.min_t","S15.min_t","S16.min_t","S18.min_t", "S19.min_t","S1.min_t","S20.min_t","S2.min_t","S3.min_t","S4.min_t","S5.min_t",
                  "S6.min_t","S7.min_t","S8.min_t","S9.min_t")
pred_sensores
##  [1] "S10.min_t" "S11.min_t" "S12.min_t" "S13.min_t" "S14.min_t"
##  [6] "S15.min_t" "S16.min_t" "S18.min_t" "S19.min_t" "S1.min_t" 
## [11] "S20.min_t" "S2.min_t"  "S3.min_t"  "S4.min_t"  "S5.min_t" 
## [16] "S6.min_t"  "S7.min_t"  "S8.min_t"  "S9.min_t"

Columnas a borrar

erase <- colnames(sensores)[1]
erase
## [1] "X1"
sensores <- sensores[,-which(names(sensores) %in% erase)]
colnames(sensores)
##   [1] "S10.max"         "S11.max"         "S12.max"        
##   [4] "S13.max"         "S14.max"         "S15.max"        
##   [7] "S16.max"         "S17.max"         "S18.max"        
##  [10] "S19.max"         "S1.max"          "S20.max"        
##  [13] "S2.max"          "S3.max"          "S4.max"         
##  [16] "S5.max"          "S6.max"          "S7.max"         
##  [19] "S8.max"          "S9.max"          "S10.media"      
##  [22] "S11.media"       "S12.media"       "S13.media"      
##  [25] "S14.media"       "S15.media"       "S16.media"      
##  [28] "S17.media"       "S18.media"       "S19.media"      
##  [31] "S1.media"        "S20.media"       "S2.media"       
##  [34] "S3.media"        "S4.media"        "S5.media"       
##  [37] "S6.media"        "S7.media"        "S8.media"       
##  [40] "S9.media"        "S10.min"         "S11.min"        
##  [43] "S12.min"         "S13.min"         "S14.min"        
##  [46] "S15.min"         "S16.min"         "S17.min"        
##  [49] "S18.min"         "S19.min"         "S1.min"         
##  [52] "S20.min"         "S2.min"          "S3.min"         
##  [55] "S4.min"          "S5.min"          "S6.min"         
##  [58] "S7.min"          "S8.min"          "S9.min"         
##  [61] "S10.15hs"        "S11.15hs"        "S12.15hs"       
##  [64] "S13.15hs"        "S14.15hs"        "S15.15hs"       
##  [67] "S16.15hs"        "S17.15hs"        "S18.15hs"       
##  [70] "S19.15hs"        "S1.15hs"         "S20.15hs"       
##  [73] "S2.15hs"         "S3.15hs"         "S4.15hs"        
##  [76] "S5.15hs"         "S6.15hs"         "S7.15hs"        
##  [79] "S8.15hs"         "S9.15hs"         "S10.12hs"       
##  [82] "S11.12hs"        "S12.12hs"        "S13.12hs"       
##  [85] "S14.12hs"        "S15.12hs"        "S16.12hs"       
##  [88] "S17.12hs"        "S18.12hs"        "S19.12hs"       
##  [91] "S1.12hs"         "S20.12hs"        "S2.12hs"        
##  [94] "S3.12hs"         "S4.12hs"         "S5.12hs"        
##  [97] "S6.12hs"         "S7.12hs"         "S8.12hs"        
## [100] "S9.12hs"         "S10.18hs"        "S11.18hs"       
## [103] "S12.18hs"        "S13.18hs"        "S14.18hs"       
## [106] "S15.18hs"        "S16.18hs"        "S17.18hs"       
## [109] "S18.18hs"        "S19.18hs"        "S1.18hs"        
## [112] "S20.18hs"        "S2.18hs"         "S3.18hs"        
## [115] "S4.18hs"         "S5.18hs"         "S6.18hs"        
## [118] "S7.18hs"         "S8.18hs"         "S9.18hs"        
## [121] "Est.humedad_min" "Est.humedad_med" "Est.humedad_max"
## [124] "Est.temp_min"    "Est.temp_max"    "Est.temp_med"

Procedemos a armar un dataset con las variables, colocando los datos de hace dos días, luego hace un día y luego día presente. Por ello, desfazamos el dataset para que queden primero las variables en T-2, T-1 y luego en t o tiempo presente.

sensores_T_2 <- sensores[1:(nrow(sensores)-2),] 
sensores_T_1 <- sensores[2:(nrow(sensores)-1),] # no incluyo la primera fila
sensores_t <- sensores[3:nrow(sensores),] 

renombro las columnas

colnames(sensores_T_2) <- paste(colnames(sensores_T_2),"_T_2",sep="")
colnames(sensores_T_1) <- paste(colnames(sensores_T_1),"_T_1",sep="")
colnames(sensores_t) <- paste(colnames(sensores_t),"_t",sep="")

del tiempo presente solo me interesa la temperatura mínima, las que quiero predecir

sensores_t <- sensores_t[,pred_sensores]

creo dataset de datos de T-2, T-1 y t

df <- cbind.data.frame(sensores_T_2,sensores_T_1,sensores_t)

nombres de las variables a usar para entrenar/testear

colnames(df)
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S12.max_T_2"        
##   [4] "S13.max_T_2"         "S14.max_T_2"         "S15.max_T_2"        
##   [7] "S16.max_T_2"         "S17.max_T_2"         "S18.max_T_2"        
##  [10] "S19.max_T_2"         "S1.max_T_2"          "S20.max_T_2"        
##  [13] "S2.max_T_2"          "S3.max_T_2"          "S4.max_T_2"         
##  [16] "S5.max_T_2"          "S6.max_T_2"          "S7.max_T_2"         
##  [19] "S8.max_T_2"          "S9.max_T_2"          "S10.media_T_2"      
##  [22] "S11.media_T_2"       "S12.media_T_2"       "S13.media_T_2"      
##  [25] "S14.media_T_2"       "S15.media_T_2"       "S16.media_T_2"      
##  [28] "S17.media_T_2"       "S18.media_T_2"       "S19.media_T_2"      
##  [31] "S1.media_T_2"        "S20.media_T_2"       "S2.media_T_2"       
##  [34] "S3.media_T_2"        "S4.media_T_2"        "S5.media_T_2"       
##  [37] "S6.media_T_2"        "S7.media_T_2"        "S8.media_T_2"       
##  [40] "S9.media_T_2"        "S10.min_T_2"         "S11.min_T_2"        
##  [43] "S12.min_T_2"         "S13.min_T_2"         "S14.min_T_2"        
##  [46] "S15.min_T_2"         "S16.min_T_2"         "S17.min_T_2"        
##  [49] "S18.min_T_2"         "S19.min_T_2"         "S1.min_T_2"         
##  [52] "S20.min_T_2"         "S2.min_T_2"          "S3.min_T_2"         
##  [55] "S4.min_T_2"          "S5.min_T_2"          "S6.min_T_2"         
##  [58] "S7.min_T_2"          "S8.min_T_2"          "S9.min_T_2"         
##  [61] "S10.15hs_T_2"        "S11.15hs_T_2"        "S12.15hs_T_2"       
##  [64] "S13.15hs_T_2"        "S14.15hs_T_2"        "S15.15hs_T_2"       
##  [67] "S16.15hs_T_2"        "S17.15hs_T_2"        "S18.15hs_T_2"       
##  [70] "S19.15hs_T_2"        "S1.15hs_T_2"         "S20.15hs_T_2"       
##  [73] "S2.15hs_T_2"         "S3.15hs_T_2"         "S4.15hs_T_2"        
##  [76] "S5.15hs_T_2"         "S6.15hs_T_2"         "S7.15hs_T_2"        
##  [79] "S8.15hs_T_2"         "S9.15hs_T_2"         "S10.12hs_T_2"       
##  [82] "S11.12hs_T_2"        "S12.12hs_T_2"        "S13.12hs_T_2"       
##  [85] "S14.12hs_T_2"        "S15.12hs_T_2"        "S16.12hs_T_2"       
##  [88] "S17.12hs_T_2"        "S18.12hs_T_2"        "S19.12hs_T_2"       
##  [91] "S1.12hs_T_2"         "S20.12hs_T_2"        "S2.12hs_T_2"        
##  [94] "S3.12hs_T_2"         "S4.12hs_T_2"         "S5.12hs_T_2"        
##  [97] "S6.12hs_T_2"         "S7.12hs_T_2"         "S8.12hs_T_2"        
## [100] "S9.12hs_T_2"         "S10.18hs_T_2"        "S11.18hs_T_2"       
## [103] "S12.18hs_T_2"        "S13.18hs_T_2"        "S14.18hs_T_2"       
## [106] "S15.18hs_T_2"        "S16.18hs_T_2"        "S17.18hs_T_2"       
## [109] "S18.18hs_T_2"        "S19.18hs_T_2"        "S1.18hs_T_2"        
## [112] "S20.18hs_T_2"        "S2.18hs_T_2"         "S3.18hs_T_2"        
## [115] "S4.18hs_T_2"         "S5.18hs_T_2"         "S6.18hs_T_2"        
## [118] "S7.18hs_T_2"         "S8.18hs_T_2"         "S9.18hs_T_2"        
## [121] "Est.humedad_min_T_2" "Est.humedad_med_T_2" "Est.humedad_max_T_2"
## [124] "Est.temp_min_T_2"    "Est.temp_max_T_2"    "Est.temp_med_T_2"   
## [127] "S10.max_T_1"         "S11.max_T_1"         "S12.max_T_1"        
## [130] "S13.max_T_1"         "S14.max_T_1"         "S15.max_T_1"        
## [133] "S16.max_T_1"         "S17.max_T_1"         "S18.max_T_1"        
## [136] "S19.max_T_1"         "S1.max_T_1"          "S20.max_T_1"        
## [139] "S2.max_T_1"          "S3.max_T_1"          "S4.max_T_1"         
## [142] "S5.max_T_1"          "S6.max_T_1"          "S7.max_T_1"         
## [145] "S8.max_T_1"          "S9.max_T_1"          "S10.media_T_1"      
## [148] "S11.media_T_1"       "S12.media_T_1"       "S13.media_T_1"      
## [151] "S14.media_T_1"       "S15.media_T_1"       "S16.media_T_1"      
## [154] "S17.media_T_1"       "S18.media_T_1"       "S19.media_T_1"      
## [157] "S1.media_T_1"        "S20.media_T_1"       "S2.media_T_1"       
## [160] "S3.media_T_1"        "S4.media_T_1"        "S5.media_T_1"       
## [163] "S6.media_T_1"        "S7.media_T_1"        "S8.media_T_1"       
## [166] "S9.media_T_1"        "S10.min_T_1"         "S11.min_T_1"        
## [169] "S12.min_T_1"         "S13.min_T_1"         "S14.min_T_1"        
## [172] "S15.min_T_1"         "S16.min_T_1"         "S17.min_T_1"        
## [175] "S18.min_T_1"         "S19.min_T_1"         "S1.min_T_1"         
## [178] "S20.min_T_1"         "S2.min_T_1"          "S3.min_T_1"         
## [181] "S4.min_T_1"          "S5.min_T_1"          "S6.min_T_1"         
## [184] "S7.min_T_1"          "S8.min_T_1"          "S9.min_T_1"         
## [187] "S10.15hs_T_1"        "S11.15hs_T_1"        "S12.15hs_T_1"       
## [190] "S13.15hs_T_1"        "S14.15hs_T_1"        "S15.15hs_T_1"       
## [193] "S16.15hs_T_1"        "S17.15hs_T_1"        "S18.15hs_T_1"       
## [196] "S19.15hs_T_1"        "S1.15hs_T_1"         "S20.15hs_T_1"       
## [199] "S2.15hs_T_1"         "S3.15hs_T_1"         "S4.15hs_T_1"        
## [202] "S5.15hs_T_1"         "S6.15hs_T_1"         "S7.15hs_T_1"        
## [205] "S8.15hs_T_1"         "S9.15hs_T_1"         "S10.12hs_T_1"       
## [208] "S11.12hs_T_1"        "S12.12hs_T_1"        "S13.12hs_T_1"       
## [211] "S14.12hs_T_1"        "S15.12hs_T_1"        "S16.12hs_T_1"       
## [214] "S17.12hs_T_1"        "S18.12hs_T_1"        "S19.12hs_T_1"       
## [217] "S1.12hs_T_1"         "S20.12hs_T_1"        "S2.12hs_T_1"        
## [220] "S3.12hs_T_1"         "S4.12hs_T_1"         "S5.12hs_T_1"        
## [223] "S6.12hs_T_1"         "S7.12hs_T_1"         "S8.12hs_T_1"        
## [226] "S9.12hs_T_1"         "S10.18hs_T_1"        "S11.18hs_T_1"       
## [229] "S12.18hs_T_1"        "S13.18hs_T_1"        "S14.18hs_T_1"       
## [232] "S15.18hs_T_1"        "S16.18hs_T_1"        "S17.18hs_T_1"       
## [235] "S18.18hs_T_1"        "S19.18hs_T_1"        "S1.18hs_T_1"        
## [238] "S20.18hs_T_1"        "S2.18hs_T_1"         "S3.18hs_T_1"        
## [241] "S4.18hs_T_1"         "S5.18hs_T_1"         "S6.18hs_T_1"        
## [244] "S7.18hs_T_1"         "S8.18hs_T_1"         "S9.18hs_T_1"        
## [247] "Est.humedad_min_T_1" "Est.humedad_med_T_1" "Est.humedad_max_T_1"
## [250] "Est.temp_min_T_1"    "Est.temp_max_T_1"    "Est.temp_med_T_1"   
## [253] "S10.min_t"           "S11.min_t"           "S12.min_t"          
## [256] "S13.min_t"           "S14.min_t"           "S15.min_t"          
## [259] "S16.min_t"           "S18.min_t"           "S19.min_t"          
## [262] "S1.min_t"            "S20.min_t"           "S2.min_t"           
## [265] "S3.min_t"            "S4.min_t"            "S5.min_t"           
## [268] "S6.min_t"            "S7.min_t"            "S8.min_t"           
## [271] "S9.min_t"

nro de ejemplos

nrow(df)
## [1] 463

nro de variables

ncol(df)
## [1] 271

black list de aristas

bl <- get_blacklist(pred_sensores)
## 'data.frame':    0 obs. of  2 variables:
##  $ from: atomic  
##   ..- attr(*, "levels")= chr  "S10.min_t" "S11.min_t" "S12.min_t" "S13.min_t" ...
##  $ to  : atomic  
##   ..- attr(*, "levels")= chr  "S10.min_t" "S11.min_t" "S12.min_t" "S13.min_t" ...

white list de aristas, lista de arcos que si o si tienen que ir en la red Bayesiana. Consideramos arcos dirigidos desde las variables _T_1 y _T_2 hacia el t de un mismo sensor

wl <- get_whitelist(pred_sensores,colnames(df),dataset_tmin_chaar = TRUE)
## 'data.frame':    0 obs. of  2 variables:
##  $ from: chr 
##  $ to  : chr

Training set y test dataset

bl

df[,1:ncol(df)] <- lapply(df[,1:ncol(df)],as.numeric) # <- convertir a numeric
until <- round(nrow(df)*.67) 
training.set = df[1:until, ] # This is training set to learn the parameters
test.set = df[until:nrow(df), ]
until
## [1] 310

Librería para aprendizaje de redes bayesianas

library(bnlearn) 

Aprendemos una red bayesiana usando el algoritmo hc y pasando como restricciones las white y black lists

start_time <- Sys.time()
print(start_time)
## [1] "2017-10-10 14:04:14 ART"
res = hc(training.set, whitelist=wl,blacklist = bl) # , cluster = cl) # no funciona esta funcion de cluster
end_time <- Sys.time()
print(end_time)
## [1] "2017-10-10 14:14:30 ART"
print(end_time - start_time)
## Time difference of 10.27145 mins

guardo modelo para más análisis o corridas posteriores

save(res, file = paste(file="hc-tminchaar-",Sys.time(),".RData",sep=""))

Aprendizaje de parametros

start_time <- Sys.time()
fitted = bn.fit(res, training.set)     # learning of parameters
end_time <- Sys.time()
end_time - start_time
## Time difference of 0.1802835 secs

Mostramos los parámetros para los nodos que nos interesan predecir

fitted[pred_sensores]
## $S10.min_t
## 
##   Parameters of node S10.min_t (Gaussian distribution)
## 
## Conditional density: S10.min_t | S10.max_T_2 + S10.media_T_2 + S10.min_T_2 + S10.15hs_T_2 + S10.12hs_T_2 + S10.18hs_T_2 + Est.humedad_med_T_2 + Est.temp_min_T_2 + S10.max_T_1 + S10.media_T_1 + S3.media_T_1 + S10.min_T_1 + S10.15hs_T_1 + S10.12hs_T_1 + S10.18hs_T_1 + S20.18hs_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2        S10.media_T_2  
##         -8.78843185          -0.05914428          -0.05708267  
##         S10.min_T_2         S10.15hs_T_2         S10.12hs_T_2  
##         -0.01668617           0.04360428           0.03888874  
##        S10.18hs_T_2  Est.humedad_med_T_2     Est.temp_min_T_2  
##         -0.12941890           0.03960874           0.23496228  
##         S10.max_T_1        S10.media_T_1         S3.media_T_1  
##          0.27176614          -2.06185873           2.75452252  
##         S10.min_T_1         S10.15hs_T_1         S10.12hs_T_1  
##          0.26484059          -0.40587919           0.06472412  
##        S10.18hs_T_1         S20.18hs_T_1  
##          0.65504222          -0.54338786  
## Standard deviation of the residuals: 2.268689 
## 
## $S11.min_t
## 
##   Parameters of node S11.min_t (Gaussian distribution)
## 
## Conditional density: S11.min_t | S11.max_T_2 + S11.media_T_2 + S11.min_T_2 + S11.15hs_T_2 + S13.15hs_T_2 + S11.12hs_T_2 + S11.18hs_T_2 + S11.max_T_1 + S11.media_T_1 + S3.media_T_1 + S11.min_T_1 + S11.15hs_T_1 + S13.15hs_T_1 + S11.12hs_T_1 + S11.18hs_T_1 + S20.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2        S11.media_T_2  
##         -7.43412313          -0.12833127           0.06246884  
##         S11.min_T_2         S11.15hs_T_2         S13.15hs_T_2  
##         -0.01897572          -0.82013902           0.77218176  
##        S11.12hs_T_2         S11.18hs_T_2          S11.max_T_1  
##          0.04008697          -0.09732225           0.16551216  
##       S11.media_T_1         S3.media_T_1          S11.min_T_1  
##         -1.33276176           1.99074568           0.23188382  
##        S11.15hs_T_1         S13.15hs_T_1         S11.12hs_T_1  
##          0.71055208          -0.93453458           0.07157966  
##        S11.18hs_T_1         S20.18hs_T_1  Est.humedad_min_T_1  
##          0.76477594          -0.67648988           0.03993955  
##    Est.temp_min_T_1  
##          0.21104407  
## Standard deviation of the residuals: 2.219249 
## 
## $S12.min_t
## 
##   Parameters of node S12.min_t (Gaussian distribution)
## 
## Conditional density: S12.min_t | S12.max_T_2 + S12.media_T_2 + S12.min_T_2 + S12.15hs_T_2 + S12.12hs_T_2 + S12.18hs_T_2 + S12.max_T_1 + S19.max_T_1 + S12.media_T_1 + S3.media_T_1 + S12.min_T_1 + S12.15hs_T_1 + S12.12hs_T_1 + S12.18hs_T_1 + S20.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S12.max_T_2        S12.media_T_2  
##         -7.97285437          -0.08439948          -0.11717722  
##         S12.min_T_2         S12.15hs_T_2         S12.12hs_T_2  
##          0.03969820           0.13072209          -0.02700494  
##        S12.18hs_T_2          S12.max_T_1          S19.max_T_1  
##         -0.10748925          -0.02698793           0.28790182  
##       S12.media_T_1         S3.media_T_1          S12.min_T_1  
##         -1.75778243           2.39828130           0.26005303  
##        S12.15hs_T_1         S12.12hs_T_1         S12.18hs_T_1  
##         -0.33113989           0.06865269           0.57440751  
##        S20.18hs_T_1  Est.humedad_min_T_1     Est.temp_min_T_1  
##         -0.50410114           0.04389128           0.23528711  
## Standard deviation of the residuals: 2.287008 
## 
## $S13.min_t
## 
##   Parameters of node S13.min_t (Gaussian distribution)
## 
## Conditional density: S13.min_t | S13.max_T_2 + S13.media_T_2 + S13.min_T_2 + S13.15hs_T_2 + S13.12hs_T_2 + S13.18hs_T_2 + Est.temp_max_T_2 + S13.max_T_1 + S14.max_T_1 + S13.media_T_1 + S13.min_T_1 + S15.min_T_1 + S13.15hs_T_1 + S13.12hs_T_1 + S13.18hs_T_1 + S9.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)          S13.max_T_2        S13.media_T_2  
##        -7.004599667         -0.133019239         -0.121340829  
##         S13.min_T_2         S13.15hs_T_2         S13.12hs_T_2  
##         0.024128181          0.158429165         -0.002191008  
##        S13.18hs_T_2     Est.temp_max_T_2          S13.max_T_1  
##        -0.023249787          0.181692717         -0.449458041  
##         S14.max_T_1        S13.media_T_1          S13.min_T_1  
##         0.571577882          0.580923486         -1.190417586  
##         S15.min_T_1         S13.15hs_T_1         S13.12hs_T_1  
##         1.468591518         -0.338069921          0.021674681  
##        S13.18hs_T_1          S9.18hs_T_1  Est.humedad_min_T_1  
##         0.765901633         -0.508125080          0.045720366  
## Standard deviation of the residuals: 2.192117 
## 
## $S14.min_t
## 
##   Parameters of node S14.min_t (Gaussian distribution)
## 
## Conditional density: S14.min_t | S14.max_T_2 + S2.max_T_2 + S14.media_T_2 + S2.media_T_2 + S5.media_T_2 + S14.min_T_2 + S14.15hs_T_2 + S14.12hs_T_2 + S14.18hs_T_2 + S1.18hs_T_2 + S14.max_T_1 + S9.max_T_1 + S14.media_T_1 + S14.min_T_1 + S15.min_T_1 + S14.15hs_T_1 + S1.15hs_T_1 + S14.12hs_T_1 + S14.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S14.max_T_2           S2.max_T_2  
##         -7.55472153           0.48205893          -0.60430829  
##       S14.media_T_2         S2.media_T_2         S5.media_T_2  
##         -3.31451638           5.85279063          -2.49737010  
##         S14.min_T_2         S14.15hs_T_2         S14.12hs_T_2  
##          0.05764324           0.10595919          -0.04266451  
##        S14.18hs_T_2          S1.18hs_T_2          S14.max_T_1  
##          0.92523619          -1.01765878           0.89723017  
##          S9.max_T_1        S14.media_T_1          S14.min_T_1  
##         -0.74001679           0.45019038          -1.40032946  
##         S15.min_T_1         S14.15hs_T_1          S1.15hs_T_1  
##          1.68989057          -0.89187011           0.73366925  
##        S14.12hs_T_1         S14.18hs_T_1  Est.humedad_min_T_1  
##          0.06954540           0.09792288           0.04442722  
##    Est.temp_min_T_1  
##          0.21520478  
## Standard deviation of the residuals: 2.102336 
## 
## $S15.min_t
## 
##   Parameters of node S15.min_t (Gaussian distribution)
## 
## Conditional density: S15.min_t | S15.max_T_2 + S10.media_T_2 + S15.media_T_2 + S15.min_T_2 + S15.15hs_T_2 + S15.12hs_T_2 + S15.18hs_T_2 + S14.max_T_1 + S15.max_T_1 + S15.media_T_1 + S6.media_T_1 + S14.min_T_1 + S15.min_T_1 + S15.15hs_T_1 + S15.12hs_T_1 + S15.18hs_T_1 + S20.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S15.max_T_2        S10.media_T_2  
##         -7.60915730          -0.16316802          -1.97765929  
##       S15.media_T_2          S15.min_T_2         S15.15hs_T_2  
##          1.89902291           0.01334394           0.13288680  
##        S15.12hs_T_2         S15.18hs_T_2          S14.max_T_1  
##          0.02212565          -0.06792121           0.62984656  
##         S15.max_T_1        S15.media_T_1         S6.media_T_1  
##         -0.42321996          -1.38162457           1.97586926  
##         S14.min_T_1          S15.min_T_1         S15.15hs_T_1  
##         -1.67835635           1.94262917          -0.41371043  
##        S15.12hs_T_1         S15.18hs_T_1         S20.18hs_T_1  
##          0.05841978           0.73761537          -0.50137217  
## Est.humedad_min_T_1     Est.temp_min_T_1  
##          0.04381314           0.22721986  
## Standard deviation of the residuals: 2.179504 
## 
## $S16.min_t
## 
##   Parameters of node S16.min_t (Gaussian distribution)
## 
## Conditional density: S16.min_t | S16.max_T_2 + S16.media_T_2 + S16.min_T_2 + S16.15hs_T_2 + S16.12hs_T_2 + S16.18hs_T_2 + S16.max_T_1 + S16.media_T_1 + S10.min_T_1 + S14.min_T_1 + S16.min_T_1 + S16.15hs_T_1 + S16.12hs_T_1 + S16.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S16.max_T_2        S16.media_T_2  
##         -6.46653131          -0.08711184          -0.08532295  
##         S16.min_T_2         S16.15hs_T_2         S16.12hs_T_2  
##         -0.01307393           0.11323413          -0.01480756  
##        S16.18hs_T_2          S16.max_T_1        S16.media_T_1  
##         -0.07660945           0.29321538           0.62807573  
##         S10.min_T_1          S14.min_T_1          S16.min_T_1  
##          1.72837479          -1.17463014          -0.28311065  
##        S16.15hs_T_1         S16.12hs_T_1         S16.18hs_T_1  
##         -0.32901924           0.06234108          -0.00358083  
## Est.humedad_min_T_1     Est.temp_min_T_1  
##          0.03441361           0.20498351  
## Standard deviation of the residuals: 2.334231 
## 
## $S18.min_t
## 
##   Parameters of node S18.min_t (Gaussian distribution)
## 
## Conditional density: S18.min_t | S18.max_T_2 + S18.media_T_2 + S18.min_T_2 + S18.15hs_T_2 + S18.12hs_T_2 + S18.18hs_T_2 + Est.humedad_min_T_2 + Est.temp_min_T_2 + S18.max_T_1 + S18.media_T_1 + S18.min_T_1 + S18.15hs_T_1 + S18.12hs_T_1 + S18.18hs_T_1
## Coefficients:
##         (Intercept)          S18.max_T_2        S18.media_T_2  
##       -8.1391343975         0.0771427855        -0.1152253481  
##         S18.min_T_2         S18.15hs_T_2         S18.12hs_T_2  
##       -0.0078758712        -0.0409763233         0.0004090797  
##        S18.18hs_T_2  Est.humedad_min_T_2     Est.temp_min_T_2  
##       -0.0893631381         0.0421744747         0.2271073515  
##         S18.max_T_1        S18.media_T_1          S18.min_T_1  
##        0.3462090726         0.5607180311         0.3138541126  
##        S18.15hs_T_1         S18.12hs_T_1         S18.18hs_T_1  
##       -0.3332917645         0.0451438572         0.0059703220  
## Standard deviation of the residuals: 2.284291 
## 
## $S19.min_t
## 
##   Parameters of node S19.min_t (Gaussian distribution)
## 
## Conditional density: S19.min_t | S19.max_T_2 + S19.media_T_2 + S19.min_T_2 + S19.15hs_T_2 + S19.12hs_T_2 + S19.18hs_T_2 + S19.max_T_1 + S19.media_T_1 + S10.min_T_1 + S19.min_T_1 + S19.15hs_T_1 + S19.12hs_T_1 + S19.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S19.max_T_2        S19.media_T_2  
##        -6.660490588         -0.090601677         -0.101697154  
##         S19.min_T_2         S19.15hs_T_2         S19.12hs_T_2  
##        -0.007468933          0.086181204         -0.037746150  
##        S19.18hs_T_2          S19.max_T_1        S19.media_T_1  
##        -0.050735141          0.389183568          0.592459821  
##         S10.min_T_1          S19.min_T_1         S19.15hs_T_1  
##         1.047416973         -0.744984318         -0.372678114  
##        S19.12hs_T_1         S19.18hs_T_1  Est.humedad_min_T_1  
##         0.133162792         -0.084951610          0.034533020  
##    Est.temp_min_T_1  
##         0.216766231  
## Standard deviation of the residuals: 2.309704 
## 
## $S1.min_t
## 
##   Parameters of node S1.min_t (Gaussian distribution)
## 
## Conditional density: S1.min_t | S1.max_T_2 + S1.media_T_2 + S2.media_T_2 + S1.min_T_2 + S1.15hs_T_2 + S1.12hs_T_2 + S3.12hs_T_2 + S1.18hs_T_2 + S1.max_T_1 + S1.media_T_1 + S1.min_T_1 + S1.15hs_T_1 + S9.15hs_T_1 + S1.12hs_T_1 + S1.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)           S1.max_T_2         S1.media_T_2  
##         -7.14872308          -0.12119030          -2.75514577  
##        S2.media_T_2           S1.min_T_2          S1.15hs_T_2  
##          2.82873388           0.02290666           0.11677842  
##         S1.12hs_T_2          S3.12hs_T_2          S1.18hs_T_2  
##          0.45737788          -0.56049307          -0.11060086  
##          S1.max_T_1         S1.media_T_1           S1.min_T_1  
##          0.11688082           0.43105004           0.33359335  
##         S1.15hs_T_1          S9.15hs_T_1          S1.12hs_T_1  
##          0.65443296          -0.70803018           0.08354919  
##         S1.18hs_T_1  Est.humedad_min_T_1     Est.temp_min_T_1  
##          0.01316498           0.04260006           0.23212011  
## Standard deviation of the residuals: 2.281077 
## 
## $S20.min_t
## 
##   Parameters of node S20.min_t (Gaussian distribution)
## 
## Conditional density: S20.min_t | S20.max_T_2 + S20.media_T_2 + S20.min_T_2 + S3.min_T_2 + S20.15hs_T_2 + S20.12hs_T_2 + S20.18hs_T_2 + Est.humedad_med_T_2 + Est.temp_min_T_2 + S20.max_T_1 + S20.media_T_1 + S3.media_T_1 + S20.min_T_1 + S20.15hs_T_1 + S20.12hs_T_1 + S20.18hs_T_1
## Coefficients:
##         (Intercept)          S20.max_T_2        S20.media_T_2  
##        -8.574134888          0.045838710          0.038844720  
##         S20.min_T_2           S3.min_T_2         S20.15hs_T_2  
##         1.231110470         -1.333069360         -0.043224103  
##        S20.12hs_T_2         S20.18hs_T_2  Est.humedad_med_T_2  
##        -0.004716139         -0.126032945          0.041742490  
##    Est.temp_min_T_2          S20.max_T_1        S20.media_T_1  
##         0.232966764          0.151583687         -1.670652758  
##        S3.media_T_1          S20.min_T_1         S20.15hs_T_1  
##         2.410677469          0.267495150         -0.207677250  
##        S20.12hs_T_1         S20.18hs_T_1  
##         0.051357136         -0.016658423  
## Standard deviation of the residuals: 2.270306 
## 
## $S2.min_t
## 
##   Parameters of node S2.min_t (Gaussian distribution)
## 
## Conditional density: S2.min_t | S2.max_T_2 + S2.media_T_2 + S2.min_T_2 + S2.15hs_T_2 + S2.12hs_T_2 + S2.18hs_T_2 + S2.max_T_1 + S2.media_T_1 + S9.media_T_1 + S2.min_T_1 + S2.15hs_T_1 + S2.12hs_T_1 + S15.18hs_T_1 + S2.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)           S2.max_T_2         S2.media_T_2  
##       -6.7597347708        -0.2029507101         0.0002423661  
##          S2.min_T_2          S2.15hs_T_2          S2.12hs_T_2  
##       -0.0090554911         0.1800304643         0.0051849238  
##         S2.18hs_T_2           S2.max_T_1         S2.media_T_1  
##       -0.1415906659         0.3707157839         2.9673879223  
##        S9.media_T_1           S2.min_T_1          S2.15hs_T_1  
##       -2.4656438080         0.3770423716        -0.4096330207  
##         S2.12hs_T_1         S15.18hs_T_1          S2.18hs_T_1  
##        0.0394778027         0.5558072627        -0.4415176075  
## Est.humedad_min_T_1     Est.temp_min_T_1  
##        0.0403830855         0.2021750720  
## Standard deviation of the residuals: 2.208427 
## 
## $S3.min_t
## 
##   Parameters of node S3.min_t (Gaussian distribution)
## 
## Conditional density: S3.min_t | S3.max_T_2 + S10.media_T_2 + S3.media_T_2 + S3.min_T_2 + S4.min_T_2 + S3.15hs_T_2 + S2.12hs_T_2 + S3.12hs_T_2 + S3.18hs_T_2 + Est.humedad_min_T_2 + Est.temp_min_T_2 + S19.max_T_1 + S3.max_T_1 + S3.media_T_1 + S9.media_T_1 + S3.min_T_1 + S3.15hs_T_1 + S3.12hs_T_1 + S20.18hs_T_1 + S3.18hs_T_1
## Coefficients:
##         (Intercept)           S3.max_T_2        S10.media_T_2  
##         -6.19283800          -0.08297307          -2.14577008  
##        S3.media_T_2           S3.min_T_2           S4.min_T_2  
##          2.07695744          -1.59904115           1.66346028  
##         S3.15hs_T_2          S2.12hs_T_2          S3.12hs_T_2  
##          0.19978431           0.79192378          -0.85808111  
##         S3.18hs_T_2  Est.humedad_min_T_2     Est.temp_min_T_2  
##         -0.20093834           0.03687167           0.20057157  
##         S19.max_T_1           S3.max_T_1         S3.media_T_1  
##          0.54991836          -0.42949260           2.16559247  
##        S9.media_T_1           S3.min_T_1          S3.15hs_T_1  
##         -1.62732280           0.31311347          -0.17268198  
##         S3.12hs_T_1         S20.18hs_T_1          S3.18hs_T_1  
##          0.10264338          -0.85088853           0.88864949  
## Standard deviation of the residuals: 2.097443 
## 
## $S4.min_t
## 
##   Parameters of node S4.min_t (Gaussian distribution)
## 
## Conditional density: S4.min_t | S4.max_T_2 + S4.media_T_2 + S3.min_T_2 + S4.min_T_2 + S4.15hs_T_2 + S4.12hs_T_2 + S4.18hs_T_2 + Est.humedad_min_T_2 + Est.temp_min_T_2 + S4.max_T_1 + S4.media_T_1 + S9.media_T_1 + S4.min_T_1 + S1.15hs_T_1 + S4.15hs_T_1 + S4.12hs_T_1 + S4.18hs_T_1
## Coefficients:
##         (Intercept)           S4.max_T_2         S4.media_T_2  
##       -6.9389499231        -0.0532362823        -0.0939782854  
##          S3.min_T_2           S4.min_T_2          S4.15hs_T_2  
##       -1.3759281540         1.4001161280         0.1859803934  
##         S4.12hs_T_2          S4.18hs_T_2  Est.humedad_min_T_2  
##       -0.0332419765        -0.1467098400         0.0442681885  
##    Est.temp_min_T_2           S4.max_T_1         S4.media_T_1  
##        0.2205455344         0.2651143268         2.1460619037  
##        S9.media_T_1           S4.min_T_1          S1.15hs_T_1  
##       -1.8620359624         0.4432661072         0.6315893262  
##         S4.15hs_T_1          S4.12hs_T_1          S4.18hs_T_1  
##       -0.7507025245         0.0249067013         0.0009362657  
## Standard deviation of the residuals: 2.154875 
## 
## $S5.min_t
## 
##   Parameters of node S5.min_t (Gaussian distribution)
## 
## Conditional density: S5.min_t | S5.max_T_2 + S2.media_T_2 + S5.media_T_2 + S5.min_T_2 + S5.15hs_T_2 + S5.12hs_T_2 + S5.18hs_T_2 + S5.max_T_1 + S5.media_T_1 + S5.min_T_1 + S5.15hs_T_1 + S5.12hs_T_1 + S20.18hs_T_1 + S5.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_max_T_1
## Coefficients:
##         (Intercept)           S5.max_T_2         S2.media_T_2  
##         -7.45434737          -0.07279115           2.89729143  
##        S5.media_T_2           S5.min_T_2          S5.15hs_T_2  
##         -2.92189541           0.07119363           0.05562918  
##         S5.12hs_T_2          S5.18hs_T_2           S5.max_T_1  
##         -0.01348697          -0.10389764           0.31407038  
##        S5.media_T_1           S5.min_T_1          S5.15hs_T_1  
##          0.31760382           0.36340536          -0.31622552  
##         S5.12hs_T_1         S20.18hs_T_1          S5.18hs_T_1  
##          0.07541302          -0.42404141           0.56314969  
## Est.humedad_min_T_1     Est.temp_max_T_1  
##          0.04219196           0.19781279  
## Standard deviation of the residuals: 2.277346 
## 
## $S6.min_t
## 
##   Parameters of node S6.min_t (Gaussian distribution)
## 
## Conditional density: S6.min_t | S6.max_T_2 + S6.media_T_2 + S6.min_T_2 + S6.15hs_T_2 + S6.12hs_T_2 + S6.18hs_T_2 + Est.temp_min_T_2 + S6.max_T_1 + S6.media_T_1 + S6.min_T_1 + S6.15hs_T_1 + S6.12hs_T_1 + S20.18hs_T_1 + S6.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)           S6.max_T_2         S6.media_T_2  
##         -7.42912622          -0.14869905          -0.07563388  
##          S6.min_T_2          S6.15hs_T_2          S6.12hs_T_2  
##          0.00179470           0.13659265           0.01170648  
##         S6.18hs_T_2     Est.temp_min_T_2           S6.max_T_1  
##         -0.05975153           0.18065311           0.27818041  
##        S6.media_T_1           S6.min_T_1          S6.15hs_T_1  
##          0.44934729           0.34860254          -0.31471713  
##         S6.12hs_T_1         S20.18hs_T_1          S6.18hs_T_1  
##          0.04854650          -0.49218292           0.61871298  
## Est.humedad_min_T_1  
##          0.04075478  
## Standard deviation of the residuals: 2.257891 
## 
## $S7.min_t
## 
##   Parameters of node S7.min_t (Gaussian distribution)
## 
## Conditional density: S7.min_t | S7.max_T_2 + S7.media_T_2 + S7.min_T_2 + S7.15hs_T_2 + S7.12hs_T_2 + S7.18hs_T_2 + S7.max_T_1 + S7.media_T_1 + S9.media_T_1 + S7.min_T_1 + S7.15hs_T_1 + S7.12hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)           S7.max_T_2         S7.media_T_2  
##        -7.453560080         -0.162706520         -0.015482908  
##          S7.min_T_2          S7.15hs_T_2          S7.12hs_T_2  
##        -0.002451465          0.183817477         -0.047288964  
##         S7.18hs_T_2           S7.max_T_1         S7.media_T_1  
##        -0.105096069          0.250294993          2.189196003  
##        S9.media_T_1           S7.min_T_1          S7.15hs_T_1  
##        -1.830053649          0.363403517         -0.278620333  
##         S7.12hs_T_1          S6.18hs_T_1          S7.18hs_T_1  
##         0.047008755          1.524192930         -1.347986215  
## Est.humedad_min_T_1     Est.temp_min_T_1  
##         0.036537280          0.212562928  
## Standard deviation of the residuals: 2.300836 
## 
## $S8.min_t
## 
##   Parameters of node S8.min_t (Gaussian distribution)
## 
## Conditional density: S8.min_t | S8.max_T_2 + S8.media_T_2 + S8.min_T_2 + S8.15hs_T_2 + S8.12hs_T_2 + S1.18hs_T_2 + S8.18hs_T_2 + S8.max_T_1 + S8.media_T_1 + S10.min_T_1 + S14.min_T_1 + S8.min_T_1 + S8.15hs_T_1 + S8.12hs_T_1 + S13.18hs_T_1 + S8.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)           S8.max_T_2         S8.media_T_2  
##       -8.1968535895        -0.1126582359        -0.0878315743  
##          S8.min_T_2          S8.15hs_T_2          S8.12hs_T_2  
##       -0.0018989650         0.1384878243        -0.0124096201  
##         S1.18hs_T_2          S8.18hs_T_2           S8.max_T_1  
##       -0.9564626734         0.8468011283         0.1914599450  
##        S8.media_T_1          S10.min_T_1          S14.min_T_1  
##        0.7553639963         2.0190711718        -1.4253649749  
##          S8.min_T_1          S8.15hs_T_1          S8.12hs_T_1  
##       -0.3934136829        -0.2419287847        -0.0002855044  
##        S13.18hs_T_1          S8.18hs_T_1  Est.humedad_min_T_1  
##        0.8288982857        -0.7643000593         0.0423988070  
##    Est.temp_min_T_1  
##        0.2397302464  
## Standard deviation of the residuals: 2.318468 
## 
## $S9.min_t
## 
##   Parameters of node S9.min_t (Gaussian distribution)
## 
## Conditional density: S9.min_t | S9.max_T_2 + S9.media_T_2 + S9.min_T_2 + S9.15hs_T_2 + S9.12hs_T_2 + S9.18hs_T_2 + S14.max_T_1 + S9.max_T_1 + S4.media_T_1 + S9.media_T_1 + S9.min_T_1 + S9.15hs_T_1 + S9.12hs_T_1 + S6.18hs_T_1 + S9.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)           S9.max_T_2         S9.media_T_2  
##         -6.30495956          -0.17837268          -0.10304856  
##          S9.min_T_2          S9.15hs_T_2          S9.12hs_T_2  
##          0.02066393           0.18410067          -0.01569690  
##         S9.18hs_T_2          S14.max_T_1           S9.max_T_1  
##         -0.08330836           0.63822130          -0.39156874  
##        S4.media_T_1         S9.media_T_1           S9.min_T_1  
##          1.83564879          -1.41754445           0.37035429  
##         S9.15hs_T_1          S9.12hs_T_1          S6.18hs_T_1  
##         -0.30140188           0.06361516           0.64622635  
##         S9.18hs_T_1  Est.humedad_min_T_1     Est.temp_min_T_1  
##         -0.50068411           0.04077637           0.25580356  
## Standard deviation of the residuals: 2.302476
bn.fit.qqplot(fitted[[ncol(df)]])
## Loading required namespace: lattice

bn.fit.xyplot(fitted[[ncol(df)]])

bn.fit.histogram(fitted[[ncol(df)]])

Markov blanket de las variables de interés para predecir

for(i in 1:length(pred_sensores))
{
  cat("Markov blanket of ",pred_sensores[i],"\n")
  print(mb(res,pred_sensores[i]))
}
## Markov blanket of  S10.min_t 
##  [1] "S10.max_T_2"         "S10.media_T_2"       "S10.min_T_2"        
##  [4] "S10.15hs_T_2"        "S10.12hs_T_2"        "S10.18hs_T_2"       
##  [7] "Est.humedad_med_T_2" "Est.temp_min_T_2"    "S10.max_T_1"        
## [10] "S10.media_T_1"       "S3.media_T_1"        "S10.min_T_1"        
## [13] "S10.15hs_T_1"        "S10.12hs_T_1"        "S10.18hs_T_1"       
## [16] "S20.18hs_T_1"       
## Markov blanket of  S11.min_t 
##  [1] "S11.max_T_2"         "S11.media_T_2"       "S13.media_T_2"      
##  [4] "S16.media_T_2"       "S11.min_T_2"         "S11.15hs_T_2"       
##  [7] "S13.15hs_T_2"        "S11.12hs_T_2"        "S11.18hs_T_2"       
## [10] "S11.max_T_1"         "S14.max_T_1"         "S10.media_T_1"      
## [13] "S11.media_T_1"       "S15.media_T_1"       "S3.media_T_1"       
## [16] "S11.min_T_1"         "S12.min_T_1"         "S13.min_T_1"        
## [19] "S15.min_T_1"         "S2.min_T_1"          "S11.15hs_T_1"       
## [22] "S12.15hs_T_1"        "S13.15hs_T_1"        "S11.12hs_T_1"       
## [25] "S11.18hs_T_1"        "S20.18hs_T_1"        "Est.humedad_min_T_1"
## [28] "Est.temp_min_T_1"    "S2.min_t"           
## Markov blanket of  S12.min_t 
##  [1] "S12.max_T_2"         "S12.media_T_2"       "S12.min_T_2"        
##  [4] "S15.min_T_2"         "S20.min_T_2"         "S2.min_T_2"         
##  [7] "S3.min_T_2"          "S4.min_T_2"          "S8.min_T_2"         
## [10] "S12.15hs_T_2"        "S12.12hs_T_2"        "S12.18hs_T_2"       
## [13] "S12.max_T_1"         "S19.max_T_1"         "S12.media_T_1"      
## [16] "S3.media_T_1"        "S12.min_T_1"         "S12.15hs_T_1"       
## [19] "S12.12hs_T_1"        "S12.18hs_T_1"        "S20.18hs_T_1"       
## [22] "Est.humedad_min_T_1" "Est.temp_min_T_1"    "S13.min_t"          
## Markov blanket of  S13.min_t 
##  [1] "S13.max_T_2"         "S13.media_T_2"       "S13.min_T_2"        
##  [4] "S15.min_T_2"         "S20.min_T_2"         "S2.min_T_2"         
##  [7] "S3.min_T_2"          "S4.min_T_2"          "S8.min_T_2"         
## [10] "S13.15hs_T_2"        "S13.12hs_T_2"        "S13.18hs_T_2"       
## [13] "Est.temp_max_T_2"    "S13.max_T_1"         "S14.max_T_1"        
## [16] "S13.media_T_1"       "S13.min_T_1"         "S15.min_T_1"        
## [19] "S13.15hs_T_1"        "S13.12hs_T_1"        "S13.18hs_T_1"       
## [22] "S9.18hs_T_1"         "Est.humedad_min_T_1" "S12.min_t"          
## Markov blanket of  S14.min_t 
##  [1] "S14.max_T_2"         "S2.max_T_2"          "S14.media_T_2"      
##  [4] "S2.media_T_2"        "S5.media_T_2"        "S14.min_T_2"        
##  [7] "S14.15hs_T_2"        "S14.12hs_T_2"        "S14.18hs_T_2"       
## [10] "S1.18hs_T_2"         "S14.max_T_1"         "S9.max_T_1"         
## [13] "S14.media_T_1"       "S14.min_T_1"         "S15.min_T_1"        
## [16] "S14.15hs_T_1"        "S1.15hs_T_1"         "S14.12hs_T_1"       
## [19] "S14.18hs_T_1"        "Est.humedad_min_T_1" "Est.temp_min_T_1"   
## Markov blanket of  S15.min_t 
##  [1] "S15.max_T_2"         "S10.media_T_2"       "S15.media_T_2"      
##  [4] "S15.min_T_2"         "S3.min_T_2"          "S9.min_T_2"         
##  [7] "S15.15hs_T_2"        "S15.12hs_T_2"        "S15.18hs_T_2"       
## [10] "S16.18hs_T_2"        "Est.humedad_min_T_2" "Est.temp_max_T_2"   
## [13] "S14.max_T_1"         "S15.max_T_1"         "S15.media_T_1"      
## [16] "S6.media_T_1"        "S14.min_T_1"         "S15.min_T_1"        
## [19] "S15.15hs_T_1"        "S15.12hs_T_1"        "S15.18hs_T_1"       
## [22] "S20.18hs_T_1"        "Est.humedad_min_T_1" "Est.temp_min_T_1"   
## Markov blanket of  S16.min_t 
##  [1] "S16.max_T_2"         "S16.media_T_2"       "S16.min_T_2"        
##  [4] "S16.15hs_T_2"        "S16.12hs_T_2"        "S16.18hs_T_2"       
##  [7] "S16.max_T_1"         "S16.media_T_1"       "S10.min_T_1"        
## [10] "S14.min_T_1"         "S16.min_T_1"         "S16.15hs_T_1"       
## [13] "S16.12hs_T_1"        "S16.18hs_T_1"        "Est.humedad_min_T_1"
## [16] "Est.temp_min_T_1"   
## Markov blanket of  S18.min_t 
##  [1] "S18.max_T_2"         "S18.media_T_2"       "S18.min_T_2"        
##  [4] "S18.15hs_T_2"        "S18.12hs_T_2"        "S18.18hs_T_2"       
##  [7] "Est.humedad_min_T_2" "Est.temp_min_T_2"    "S18.max_T_1"        
## [10] "S18.media_T_1"       "S18.min_T_1"         "S18.15hs_T_1"       
## [13] "S18.12hs_T_1"        "S18.18hs_T_1"       
## Markov blanket of  S19.min_t 
##  [1] "S19.max_T_2"         "S19.media_T_2"       "S19.min_T_2"        
##  [4] "S19.15hs_T_2"        "S19.12hs_T_2"        "S19.18hs_T_2"       
##  [7] "S19.max_T_1"         "S19.media_T_1"       "S10.min_T_1"        
## [10] "S19.min_T_1"         "S19.15hs_T_1"        "S19.12hs_T_1"       
## [13] "S19.18hs_T_1"        "Est.humedad_min_T_1" "Est.temp_min_T_1"   
## Markov blanket of  S1.min_t 
##  [1] "S1.max_T_2"          "S1.media_T_2"        "S2.media_T_2"       
##  [4] "S1.min_T_2"          "S1.15hs_T_2"         "S1.12hs_T_2"        
##  [7] "S3.12hs_T_2"         "S1.18hs_T_2"         "S1.max_T_1"         
## [10] "S1.media_T_1"        "S1.min_T_1"          "S1.15hs_T_1"        
## [13] "S9.15hs_T_1"         "S1.12hs_T_1"         "S1.18hs_T_1"        
## [16] "Est.humedad_min_T_1" "Est.temp_min_T_1"   
## Markov blanket of  S20.min_t 
##  [1] "S20.max_T_2"         "S20.media_T_2"       "S20.min_T_2"        
##  [4] "S3.min_T_2"          "S20.15hs_T_2"        "S20.12hs_T_2"       
##  [7] "S20.18hs_T_2"        "Est.humedad_med_T_2" "Est.temp_min_T_2"   
## [10] "S20.max_T_1"         "S20.media_T_1"       "S3.media_T_1"       
## [13] "S20.min_T_1"         "S20.15hs_T_1"        "S20.12hs_T_1"       
## [16] "S20.18hs_T_1"       
## Markov blanket of  S2.min_t 
##  [1] "S2.max_T_2"          "S13.media_T_2"       "S16.media_T_2"      
##  [4] "S2.media_T_2"        "S2.min_T_2"          "S2.15hs_T_2"        
##  [7] "S2.12hs_T_2"         "S2.18hs_T_2"         "S14.max_T_1"        
## [10] "S2.max_T_1"          "S10.media_T_1"       "S15.media_T_1"      
## [13] "S2.media_T_1"        "S9.media_T_1"        "S11.min_T_1"        
## [16] "S12.min_T_1"         "S13.min_T_1"         "S15.min_T_1"        
## [19] "S2.min_T_1"          "S12.15hs_T_1"        "S2.15hs_T_1"        
## [22] "S2.12hs_T_1"         "S15.18hs_T_1"        "S2.18hs_T_1"        
## [25] "Est.humedad_min_T_1" "Est.temp_min_T_1"    "S11.min_t"          
## Markov blanket of  S3.min_t 
##  [1] "S3.max_T_2"          "S10.media_T_2"       "S3.media_T_2"       
##  [4] "S3.min_T_2"          "S4.min_T_2"          "S3.15hs_T_2"        
##  [7] "S2.12hs_T_2"         "S3.12hs_T_2"         "S3.18hs_T_2"        
## [10] "Est.humedad_min_T_2" "Est.temp_min_T_2"    "S19.max_T_1"        
## [13] "S3.max_T_1"          "S3.media_T_1"        "S9.media_T_1"       
## [16] "S3.min_T_1"          "S3.15hs_T_1"         "S3.12hs_T_1"        
## [19] "S20.18hs_T_1"        "S3.18hs_T_1"        
## Markov blanket of  S4.min_t 
##  [1] "S4.max_T_2"          "S4.media_T_2"        "S3.min_T_2"         
##  [4] "S4.min_T_2"          "S4.15hs_T_2"         "S4.12hs_T_2"        
##  [7] "S4.18hs_T_2"         "Est.humedad_min_T_2" "Est.temp_min_T_2"   
## [10] "S4.max_T_1"          "S4.media_T_1"        "S9.media_T_1"       
## [13] "S4.min_T_1"          "S1.15hs_T_1"         "S4.15hs_T_1"        
## [16] "S4.12hs_T_1"         "S4.18hs_T_1"        
## Markov blanket of  S5.min_t 
##  [1] "S5.max_T_2"          "S2.media_T_2"        "S5.media_T_2"       
##  [4] "S10.min_T_2"         "S14.min_T_2"         "S15.min_T_2"        
##  [7] "S3.min_T_2"          "S5.min_T_2"          "S7.min_T_2"         
## [10] "S9.min_T_2"          "S5.15hs_T_2"         "S5.12hs_T_2"        
## [13] "S5.18hs_T_2"         "S5.max_T_1"          "S5.media_T_1"       
## [16] "S5.min_T_1"          "S5.15hs_T_1"         "S5.12hs_T_1"        
## [19] "S20.18hs_T_1"        "S5.18hs_T_1"         "Est.humedad_min_T_1"
## [22] "Est.temp_max_T_1"   
## Markov blanket of  S6.min_t 
##  [1] "S6.max_T_2"          "S6.media_T_2"        "S6.min_T_2"         
##  [4] "S6.15hs_T_2"         "S6.12hs_T_2"         "S6.18hs_T_2"        
##  [7] "Est.temp_min_T_2"    "S6.max_T_1"          "S6.media_T_1"       
## [10] "S6.min_T_1"          "S6.15hs_T_1"         "S6.12hs_T_1"        
## [13] "S20.18hs_T_1"        "S6.18hs_T_1"         "Est.humedad_min_T_1"
## Markov blanket of  S7.min_t 
##  [1] "S7.max_T_2"          "S7.media_T_2"        "S7.min_T_2"         
##  [4] "S7.15hs_T_2"         "S7.12hs_T_2"         "S7.18hs_T_2"        
##  [7] "Est.humedad_max_T_2" "S3.max_T_1"          "S6.max_T_1"         
## [10] "S7.max_T_1"          "S10.media_T_1"       "S13.media_T_1"      
## [13] "S14.media_T_1"       "S16.media_T_1"       "S1.media_T_1"       
## [16] "S2.media_T_1"        "S3.media_T_1"        "S6.media_T_1"       
## [19] "S7.media_T_1"        "S9.media_T_1"        "S7.min_T_1"         
## [22] "S15.15hs_T_1"        "S2.15hs_T_1"         "S3.15hs_T_1"        
## [25] "S7.15hs_T_1"         "S11.12hs_T_1"        "S3.12hs_T_1"        
## [28] "S6.12hs_T_1"         "S7.12hs_T_1"         "S9.12hs_T_1"        
## [31] "S13.18hs_T_1"        "S16.18hs_T_1"        "S3.18hs_T_1"        
## [34] "S4.18hs_T_1"         "S6.18hs_T_1"         "S7.18hs_T_1"        
## [37] "S9.18hs_T_1"         "Est.humedad_min_T_1" "Est.temp_min_T_1"   
## Markov blanket of  S8.min_t 
##  [1] "S8.max_T_2"          "S8.media_T_2"        "S8.min_T_2"         
##  [4] "S8.15hs_T_2"         "S8.12hs_T_2"         "S1.18hs_T_2"        
##  [7] "S8.18hs_T_2"         "S8.max_T_1"          "S8.media_T_1"       
## [10] "S10.min_T_1"         "S14.min_T_1"         "S8.min_T_1"         
## [13] "S8.15hs_T_1"         "S8.12hs_T_1"         "S13.18hs_T_1"       
## [16] "S8.18hs_T_1"         "Est.humedad_min_T_1" "Est.temp_min_T_1"   
## Markov blanket of  S9.min_t 
##  [1] "S9.max_T_2"          "S9.media_T_2"        "S9.min_T_2"         
##  [4] "S9.15hs_T_2"         "S9.12hs_T_2"         "S9.18hs_T_2"        
##  [7] "S14.max_T_1"         "S9.max_T_1"          "S4.media_T_1"       
## [10] "S9.media_T_1"        "S9.min_T_1"          "S9.15hs_T_1"        
## [13] "S9.12hs_T_1"         "S6.18hs_T_1"         "S9.18hs_T_1"        
## [16] "Est.humedad_min_T_1" "Est.temp_min_T_1"

Predicciones, evaluación en conjunto de testeo, caso regresión predicción temperaturas

df_res <- errors_regression(pred_sensores, fitted, test.set, verbose = FALSE)
## Loading required package: zoo
## 
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
## 
##     as.Date, as.Date.numeric
## Loading required package: timeDate
## This is forecast 5.8
## Testing on  S10.min_t 
## Testing on  S11.min_t 
## Testing on  S12.min_t 
## Testing on  S13.min_t 
## Testing on  S14.min_t 
## Testing on  S15.min_t 
## Testing on  S16.min_t 
## Testing on  S18.min_t 
## Testing on  S19.min_t 
## Testing on  S1.min_t 
## Testing on  S20.min_t 
## Testing on  S2.min_t 
## Testing on  S3.min_t 
## Testing on  S4.min_t 
## Testing on  S5.min_t 
## Testing on  S6.min_t 
## Testing on  S7.min_t 
## Testing on  S8.min_t 
## Testing on  S9.min_t
df_res
##     Variable                  ME             RMSE              MAE
## 1  S10.min_t  -0.362944641574646  2.2899332394924 1.77316329139593
## 2  S11.min_t  -0.416125074462546 2.36656960229429 1.89525419938801
## 3  S12.min_t  -0.475267489929335  2.2006144178408 1.73509872352605
## 4  S13.min_t  -0.299453978698722 2.14396443628437 1.67179860274837
## 5  S14.min_t   0.418663232799487 2.36035461771123 1.92607133097722
## 6  S15.min_t   -0.15724698144596 2.13060127209838 1.71180623764247
## 7  S16.min_t  -0.282057148903732 2.43034719615218 1.94504789359944
## 8  S18.min_t -0.0465334298490033 2.17392240895557 1.70207623389368
## 9  S19.min_t  -0.288405664909895 2.27764480885299 1.80973261965974
## 10  S1.min_t  -0.506256678598324 2.30980631641046 1.79821263950664
## 11 S20.min_t  -0.173931328655038 2.15736588899896 1.67591994226947
## 12  S2.min_t  -0.121128968518394 2.14131305528717 1.70643833587752
## 13  S3.min_t   -1.25094650330961 2.56099396957861 1.96383346691053
## 14  S4.min_t  -0.273247724942762 2.27308263363553 1.77426008584375
## 15  S5.min_t   0.029926884430713 2.20492001278803 1.80400017052828
## 16  S6.min_t  -0.274385426518909 2.10120885066763 1.65319596430228
## 17  S7.min_t  -0.397589442829917 2.28991502725513 1.80925372281456
## 18  S8.min_t   0.264434487459849 2.46231067022081 1.92390064290928
## 19  S9.min_t -0.0827551124808375 2.34204243172663 1.83548890376768
##                  MPE             MAPE
## 1               -Inf              Inf
## 2               -Inf              Inf
## 3               -Inf              Inf
## 4               -Inf              Inf
## 5               -Inf              Inf
## 6  -7.95183434788504 65.1849683253801
## 7                NaN              Inf
## 8                NaN              Inf
## 9                NaN              Inf
## 10              -Inf              Inf
## 11               NaN              Inf
## 12              -Inf              Inf
## 13              -Inf              Inf
## 14              -Inf              Inf
## 15              -Inf              Inf
## 16              -Inf              Inf
## 17              -Inf              Inf
## 18               NaN              Inf
## 19              -Inf              Inf

plots de R squared

r2_plots_inline(pred_sensores, fitted, test.set)

llamar confusionMatrix de caret, pasar primero “a factor of predicted classes, then a factor of classes to be used as the true results

breaks.binario <- c(-10,0,50) # caso Helada y no helada
my.breaks <- c(-10,-5,0,2,5,10,50)

Caso binario: helada o no helada

conf_matrix_binario = conf_matrix(fitted,pred_sensores,test.set, breaks.binario)
## Loading required package: lattice
## Variable  S10.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      12      3
##    (0,50]        8    131
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8701          
##     P-Value [Acc > NIR] : 0.01549         
##                                           
##                   Kappa : 0.6463          
##  Mcnemar's Test P-Value : 0.22780         
##                                           
##             Sensitivity : 0.60000         
##             Specificity : 0.97761         
##          Pos Pred Value : 0.80000         
##          Neg Pred Value : 0.94245         
##              Prevalence : 0.12987         
##          Detection Rate : 0.07792         
##    Detection Prevalence : 0.09740         
##       Balanced Accuracy : 0.78881         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11      3
##    (0,50]        8    132
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.02677         
##                                           
##                   Kappa : 0.6277          
##  Mcnemar's Test P-Value : 0.22780         
##                                           
##             Sensitivity : 0.57895         
##             Specificity : 0.97778         
##          Pos Pred Value : 0.78571         
##          Neg Pred Value : 0.94286         
##              Prevalence : 0.12338         
##          Detection Rate : 0.07143         
##    Detection Prevalence : 0.09091         
##       Balanced Accuracy : 0.77836         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S12.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8      0
##    (0,50]       11    135
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.026774        
##                                           
##                   Kappa : 0.5605          
##  Mcnemar's Test P-Value : 0.002569        
##                                           
##             Sensitivity : 0.42105         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.92466         
##              Prevalence : 0.12338         
##          Detection Rate : 0.05195         
##    Detection Prevalence : 0.05195         
##       Balanced Accuracy : 0.71053         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S13.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       6      1
##    (0,50]       13    134
##                                           
##                Accuracy : 0.9091          
##                  95% CI : (0.8522, 0.9494)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.133147        
##                                           
##                   Kappa : 0.4232          
##  Mcnemar's Test P-Value : 0.003283        
##                                           
##             Sensitivity : 0.31579         
##             Specificity : 0.99259         
##          Pos Pred Value : 0.85714         
##          Neg Pred Value : 0.91156         
##              Prevalence : 0.12338         
##          Detection Rate : 0.03896         
##    Detection Prevalence : 0.04545         
##       Balanced Accuracy : 0.65419         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S14.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      10      1
##    (0,50]        9    134
##                                           
##                Accuracy : 0.9351          
##                  95% CI : (0.8838, 0.9684)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.01333         
##                                           
##                   Kappa : 0.6335          
##  Mcnemar's Test P-Value : 0.02686         
##                                           
##             Sensitivity : 0.52632         
##             Specificity : 0.99259         
##          Pos Pred Value : 0.90909         
##          Neg Pred Value : 0.93706         
##              Prevalence : 0.12338         
##          Detection Rate : 0.06494         
##    Detection Prevalence : 0.07143         
##       Balanced Accuracy : 0.75945         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S15.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11      3
##    (0,50]        8    132
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.02677         
##                                           
##                   Kappa : 0.6277          
##  Mcnemar's Test P-Value : 0.22780         
##                                           
##             Sensitivity : 0.57895         
##             Specificity : 0.97778         
##          Pos Pred Value : 0.78571         
##          Neg Pred Value : 0.94286         
##              Prevalence : 0.12338         
##          Detection Rate : 0.07143         
##    Detection Prevalence : 0.09091         
##       Balanced Accuracy : 0.77836         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S16.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       7      0
##    (0,50]        9    138
##                                          
##                Accuracy : 0.9416         
##                  95% CI : (0.892, 0.9729)
##     No Information Rate : 0.8961         
##     P-Value [Acc > NIR] : 0.035620       
##                                          
##                   Kappa : 0.5823         
##  Mcnemar's Test P-Value : 0.007661       
##                                          
##             Sensitivity : 0.43750        
##             Specificity : 1.00000        
##          Pos Pred Value : 1.00000        
##          Neg Pred Value : 0.93878        
##              Prevalence : 0.10390        
##          Detection Rate : 0.04545        
##    Detection Prevalence : 0.04545        
##       Balanced Accuracy : 0.71875        
##                                          
##        'Positive' Class : (-10,0]        
##                                          
## Variable  S18.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11      1
##    (0,50]        8    134
##                                          
##                Accuracy : 0.9416         
##                  95% CI : (0.892, 0.9729)
##     No Information Rate : 0.8766         
##     P-Value [Acc > NIR] : 0.006027       
##                                          
##                   Kappa : 0.679          
##  Mcnemar's Test P-Value : 0.045500       
##                                          
##             Sensitivity : 0.57895        
##             Specificity : 0.99259        
##          Pos Pred Value : 0.91667        
##          Neg Pred Value : 0.94366        
##              Prevalence : 0.12338        
##          Detection Rate : 0.07143        
##    Detection Prevalence : 0.07792        
##       Balanced Accuracy : 0.78577        
##                                          
##        'Positive' Class : (-10,0]        
##                                          
## Variable  S19.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       9      1
##    (0,50]       10    134
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.02677         
##                                           
##                   Kappa : 0.5854          
##  Mcnemar's Test P-Value : 0.01586         
##                                           
##             Sensitivity : 0.47368         
##             Specificity : 0.99259         
##          Pos Pred Value : 0.90000         
##          Neg Pred Value : 0.93056         
##              Prevalence : 0.12338         
##          Detection Rate : 0.05844         
##    Detection Prevalence : 0.06494         
##       Balanced Accuracy : 0.73314         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S1.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8      0
##    (0,50]       11    135
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.026774        
##                                           
##                   Kappa : 0.5605          
##  Mcnemar's Test P-Value : 0.002569        
##                                           
##             Sensitivity : 0.42105         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.92466         
##              Prevalence : 0.12338         
##          Detection Rate : 0.05195         
##    Detection Prevalence : 0.05195         
##       Balanced Accuracy : 0.71053         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S20.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      13      3
##    (0,50]        6    132
##                                          
##                Accuracy : 0.9416         
##                  95% CI : (0.892, 0.9729)
##     No Information Rate : 0.8766         
##     P-Value [Acc > NIR] : 0.006027       
##                                          
##                   Kappa : 0.7102         
##  Mcnemar's Test P-Value : 0.504985       
##                                          
##             Sensitivity : 0.68421        
##             Specificity : 0.97778        
##          Pos Pred Value : 0.81250        
##          Neg Pred Value : 0.95652        
##              Prevalence : 0.12338        
##          Detection Rate : 0.08442        
##    Detection Prevalence : 0.10390        
##       Balanced Accuracy : 0.83099        
##                                          
##        'Positive' Class : (-10,0]        
##                                          
## Variable  S2.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       6      0
##    (0,50]       12    136
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8831          
##     P-Value [Acc > NIR] : 0.078473        
##                                           
##                   Kappa : 0.469           
##  Mcnemar's Test P-Value : 0.001496        
##                                           
##             Sensitivity : 0.33333         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.91892         
##              Prevalence : 0.11688         
##          Detection Rate : 0.03896         
##    Detection Prevalence : 0.03896         
##       Balanced Accuracy : 0.66667         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S3.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       5      2
##    (0,50]       11    136
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8961        
##     P-Value [Acc > NIR] : 0.2611        
##                                         
##                   Kappa : 0.3966        
##  Mcnemar's Test P-Value : 0.0265        
##                                         
##             Sensitivity : 0.31250       
##             Specificity : 0.98551       
##          Pos Pred Value : 0.71429       
##          Neg Pred Value : 0.92517       
##              Prevalence : 0.10390       
##          Detection Rate : 0.03247       
##    Detection Prevalence : 0.04545       
##       Balanced Accuracy : 0.64900       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Variable  S4.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8      3
##    (0,50]       10    133
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8831        
##     P-Value [Acc > NIR] : 0.12707       
##                                         
##                   Kappa : 0.5081        
##  Mcnemar's Test P-Value : 0.09609       
##                                         
##             Sensitivity : 0.44444       
##             Specificity : 0.97794       
##          Pos Pred Value : 0.72727       
##          Neg Pred Value : 0.93007       
##              Prevalence : 0.11688       
##          Detection Rate : 0.05195       
##    Detection Prevalence : 0.07143       
##       Balanced Accuracy : 0.71119       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Variable  S5.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8      0
##    (0,50]       12    134
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8701          
##     P-Value [Acc > NIR] : 0.030008        
##                                           
##                   Kappa : 0.5371          
##  Mcnemar's Test P-Value : 0.001496        
##                                           
##             Sensitivity : 0.40000         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.91781         
##              Prevalence : 0.12987         
##          Detection Rate : 0.05195         
##    Detection Prevalence : 0.05195         
##       Balanced Accuracy : 0.70000         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S6.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       7      0
##    (0,50]       10    137
##                                           
##                Accuracy : 0.9351          
##                  95% CI : (0.8838, 0.9684)
##     No Information Rate : 0.8896          
##     P-Value [Acc > NIR] : 0.040278        
##                                           
##                   Kappa : 0.5547          
##  Mcnemar's Test P-Value : 0.004427        
##                                           
##             Sensitivity : 0.41176         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.93197         
##              Prevalence : 0.11039         
##          Detection Rate : 0.04545         
##    Detection Prevalence : 0.04545         
##       Balanced Accuracy : 0.70588         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S7.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      10      2
##    (0,50]       11    131
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8636        
##     P-Value [Acc > NIR] : 0.03322       
##                                         
##                   Kappa : 0.5627        
##  Mcnemar's Test P-Value : 0.02650       
##                                         
##             Sensitivity : 0.47619       
##             Specificity : 0.98496       
##          Pos Pred Value : 0.83333       
##          Neg Pred Value : 0.92254       
##              Prevalence : 0.13636       
##          Detection Rate : 0.06494       
##    Detection Prevalence : 0.07792       
##       Balanced Accuracy : 0.73058       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Variable  S8.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      13      5
##    (0,50]        6    130
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.02677         
##                                           
##                   Kappa : 0.6621          
##  Mcnemar's Test P-Value : 1.00000         
##                                           
##             Sensitivity : 0.68421         
##             Specificity : 0.96296         
##          Pos Pred Value : 0.72222         
##          Neg Pred Value : 0.95588         
##              Prevalence : 0.12338         
##          Detection Rate : 0.08442         
##    Detection Prevalence : 0.11688         
##       Balanced Accuracy : 0.82359         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S9.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      10      3
##    (0,50]       11    130
##                                           
##                Accuracy : 0.9091          
##                  95% CI : (0.8522, 0.9494)
##     No Information Rate : 0.8636          
##     P-Value [Acc > NIR] : 0.05791         
##                                           
##                   Kappa : 0.5403          
##  Mcnemar's Test P-Value : 0.06137         
##                                           
##             Sensitivity : 0.47619         
##             Specificity : 0.97744         
##          Pos Pred Value : 0.76923         
##          Neg Pred Value : 0.92199         
##              Prevalence : 0.13636         
##          Detection Rate : 0.06494         
##    Detection Prevalence : 0.08442         
##       Balanced Accuracy : 0.72682         
##                                           
##        'Positive' Class : (-10,0]         
## 

Evaluación de predicción en rangos de temperaturas

conf_matrix_temp = conf_matrix(fitted,pred_sensores,test.set, my.breaks)
## Variable  S10.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          1     11     3     0      0       0
##   (0,2]           0      6     4     4      0       0
##   (2,5]           0      2     5     8      6       0
##   (5,10]          0      0     3     4     32       5
##   (10,50]         0      0     0     0     14      46
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6558          
##                  95% CI : (0.5751, 0.7304)
##     No Information Rate : 0.3377          
##     P-Value [Acc > NIR] : 8.142e-16       
##                                           
##                   Kappa : 0.5346          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.57895      0.26667
## Specificity                 1.000000       0.97037      0.92806
## Pos Pred Value                   NaN       0.73333      0.28571
## Neg Pred Value              0.993506       0.94245      0.92143
## Prevalence                  0.006494       0.12338      0.09740
## Detection Rate              0.000000       0.07143      0.02597
## Detection Prevalence        0.000000       0.09740      0.09091
## Balanced Accuracy           0.500000       0.77466      0.59736
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.50000        0.6154         0.9020
## Specificity               0.90580        0.8824         0.8641
## Pos Pred Value            0.38095        0.7273         0.7667
## Neg Pred Value            0.93985        0.8182         0.9468
## Prevalence                0.10390        0.3377         0.3312
## Detection Rate            0.05195        0.2078         0.2987
## Detection Prevalence      0.13636        0.2857         0.3896
## Balanced Accuracy         0.70290        0.7489         0.8830
## Variable  S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     11     3     0      0       0
##   (0,2]           0      6     4     3      1       0
##   (2,5]           0      2     6     7      6       0
##   (5,10]          0      0     4     7     27       4
##   (10,50]         0      0     0     0     16      47
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6234          
##                  95% CI : (0.5418, 0.7001)
##     No Information Rate : 0.3312          
##     P-Value [Acc > NIR] : 1.164e-13       
##                                           
##                   Kappa : 0.4908          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.57895      0.23529
## Specificity                        1       0.97778      0.92701
## Pos Pred Value                    NA       0.78571      0.28571
## Neg Pred Value                    NA       0.94286      0.90714
## Prevalence                         0       0.12338      0.11039
## Detection Rate                     0       0.07143      0.02597
## Detection Prevalence               0       0.09091      0.09091
## Balanced Accuracy                 NA       0.77836      0.58115
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.41176        0.5400         0.9216
## Specificity               0.89781        0.8558         0.8447
## Pos Pred Value            0.33333        0.6429         0.7460
## Neg Pred Value            0.92481        0.7946         0.9560
## Prevalence                0.11039        0.3247         0.3312
## Detection Rate            0.04545        0.1753         0.3052
## Detection Prevalence      0.13636        0.2727         0.4091
## Balanced Accuracy         0.65479        0.6979         0.8831
## Variable  S12.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      8     0     0      0       0
##   (0,2]           0      8     6     2      0       0
##   (2,5]           0      3     6     7      3       0
##   (5,10]          0      0     4     6     32       5
##   (10,50]         0      0     0     0     15      49
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6623          
##                  95% CI : (0.5818, 0.7365)
##     No Information Rate : 0.3506          
##     P-Value [Acc > NIR] : 3.655e-15       
##                                           
##                   Kappa : 0.5349          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.42105      0.37500
## Specificity                        1       1.00000      0.92754
## Pos Pred Value                    NA       1.00000      0.37500
## Neg Pred Value                    NA       0.92466      0.92754
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.05195      0.03896
## Detection Prevalence               0       0.05195      0.10390
## Balanced Accuracy                 NA       0.71053      0.65127
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.46667        0.6400         0.9074
## Specificity               0.91367        0.8558         0.8500
## Pos Pred Value            0.36842        0.6809         0.7656
## Neg Pred Value            0.94074        0.8318         0.9444
## Prevalence                0.09740        0.3247         0.3506
## Detection Rate            0.04545        0.2078         0.3182
## Detection Prevalence      0.12338        0.3052         0.4156
## Balanced Accuracy         0.69017        0.7479         0.8787
## Variable  S13.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      6     0     1      0       0
##   (0,2]           0     11     4     0      1       0
##   (2,5]           0      2     6     7      5       0
##   (5,10]          0      0     5     7     31       5
##   (10,50]         0      0     0     0     10      53
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6558          
##                  95% CI : (0.5751, 0.7304)
##     No Information Rate : 0.3766          
##     P-Value [Acc > NIR] : 2.159e-12       
##                                           
##                   Kappa : 0.5236          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.31579      0.26667
## Specificity                        1       0.99259      0.91367
## Pos Pred Value                    NA       0.85714      0.25000
## Neg Pred Value                    NA       0.91156      0.92029
## Prevalence                         0       0.12338      0.09740
## Detection Rate                     0       0.03896      0.02597
## Detection Prevalence               0       0.04545      0.10390
## Balanced Accuracy                 NA       0.65419      0.59017
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.46667        0.6596         0.9138
## Specificity               0.90647        0.8411         0.8958
## Pos Pred Value            0.35000        0.6458         0.8413
## Neg Pred Value            0.94030        0.8491         0.9451
## Prevalence                0.09740        0.3052         0.3766
## Detection Rate            0.04545        0.2013         0.3442
## Detection Prevalence      0.12987        0.3117         0.4091
## Balanced Accuracy         0.68657        0.7503         0.9048
## Variable  S14.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     10     1     0      0       0
##   (0,2]           1      6     5     3      0       0
##   (2,5]           0      2     5    11      8       0
##   (5,10]          0      0     4     2     34      13
##   (10,50]         0      0     0     0      8      41
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6558          
##                  95% CI : (0.5751, 0.7304)
##     No Information Rate : 0.3506          
##     P-Value [Acc > NIR] : 1.317e-14       
##                                           
##                   Kappa : 0.5357          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.55556      0.33333
## Specificity                 1.000000       0.99265      0.92806
## Pos Pred Value                   NaN       0.90909      0.33333
## Neg Pred Value              0.993506       0.94406      0.92806
## Prevalence                  0.006494       0.11688      0.09740
## Detection Rate              0.000000       0.06494      0.03247
## Detection Prevalence        0.000000       0.07143      0.09740
## Balanced Accuracy           0.500000       0.77410      0.63070
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.68750        0.6800         0.7593
## Specificity               0.89130        0.8173         0.9200
## Pos Pred Value            0.42308        0.6415         0.8367
## Neg Pred Value            0.96094        0.8416         0.8762
## Prevalence                0.10390        0.3247         0.3506
## Detection Rate            0.07143        0.2208         0.2662
## Detection Prevalence      0.16883        0.3442         0.3182
## Balanced Accuracy         0.78940        0.7487         0.8396
## Variable  S15.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     11     2     1      0       0
##   (0,2]           0      6     4     3      0       0
##   (2,5]           0      2     6     9      6       0
##   (5,10]          0      0     4     6     33       8
##   (10,50]         0      0     0     0     12      41
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6364          
##                  95% CI : (0.5551, 0.7123)
##     No Information Rate : 0.3312          
##     P-Value [Acc > NIR] : 9.71e-15        
##                                           
##                   Kappa : 0.5102          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.57895      0.25000
## Specificity                        1       0.97778      0.93478
## Pos Pred Value                    NA       0.78571      0.30769
## Neg Pred Value                    NA       0.94286      0.91489
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.07143      0.02597
## Detection Prevalence               0       0.09091      0.08442
## Balanced Accuracy                 NA       0.77836      0.59239
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.47368        0.6471         0.8367
## Specificity               0.89630        0.8252         0.8857
## Pos Pred Value            0.39130        0.6471         0.7736
## Neg Pred Value            0.92366        0.8252         0.9208
## Prevalence                0.12338        0.3312         0.3182
## Detection Rate            0.05844        0.2143         0.2662
## Detection Prevalence      0.14935        0.3312         0.3442
## Balanced Accuracy         0.68499        0.7362         0.8612
## Variable  S16.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      7     0     0      0       0
##   (0,2]           0      7     5     6      0       0
##   (2,5]           0      2     5     9      3       0
##   (5,10]          0      0     3     5     27       7
##   (10,50]         0      0     0     1     17      50
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6364          
##                  95% CI : (0.5551, 0.7123)
##     No Information Rate : 0.3701          
##     P-Value [Acc > NIR] : 1.964e-11       
##                                           
##                   Kappa : 0.4963          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.43750      0.38462
## Specificity                        1       1.00000      0.90780
## Pos Pred Value                    NA       1.00000      0.27778
## Neg Pred Value                    NA       0.93878      0.94118
## Prevalence                         0       0.10390      0.08442
## Detection Rate                     0       0.04545      0.03247
## Detection Prevalence               0       0.04545      0.11688
## Balanced Accuracy                 NA       0.71875      0.64621
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.42857        0.5745         0.8772
## Specificity               0.92481        0.8598         0.8144
## Pos Pred Value            0.47368        0.6429         0.7353
## Neg Pred Value            0.91111        0.8214         0.9186
## Prevalence                0.13636        0.3052         0.3701
## Detection Rate            0.05844        0.1753         0.3247
## Detection Prevalence      0.12338        0.2727         0.4416
## Balanced Accuracy         0.67669        0.7171         0.8458
## Variable  S18.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     11     1     0      0       0
##   (0,2]           0      7     6     2      0       0
##   (2,5]           0      1     5    10      5       0
##   (5,10]          0      0     4     4     33       6
##   (10,50]         0      0     0     0     12      47
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6948          
##                  95% CI : (0.6156, 0.7664)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.5849          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.57895      0.37500
## Specificity                        1       0.99259      0.93478
## Pos Pred Value                    NA       0.91667      0.40000
## Neg Pred Value                    NA       0.94366      0.92806
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.07143      0.03896
## Detection Prevalence               0       0.07792      0.09740
## Balanced Accuracy                 NA       0.78577      0.65489
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.62500        0.6600         0.8868
## Specificity               0.92029        0.8654         0.8812
## Pos Pred Value            0.47619        0.7021         0.7966
## Neg Pred Value            0.95489        0.8411         0.9368
## Prevalence                0.10390        0.3247         0.3442
## Detection Rate            0.06494        0.2143         0.3052
## Detection Prevalence      0.13636        0.3052         0.3831
## Balanced Accuracy         0.77264        0.7627         0.8840
## Variable  S19.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      9     1     0      0       0
##   (0,2]           0      8     5     3      0       0
##   (2,5]           0      2     5     8      5       0
##   (5,10]          0      0     4     5     32       4
##   (10,50]         0      0     0     0     12      51
## 
## Overall Statistics
##                                          
##                Accuracy : 0.6818         
##                  95% CI : (0.602, 0.7545)
##     No Information Rate : 0.3571         
##     P-Value [Acc > NIR] : 2.788e-16      
##                                          
##                   Kappa : 0.5637         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.47368      0.33333
## Specificity                        1       0.99259      0.92086
## Pos Pred Value                    NA       0.90000      0.31250
## Neg Pred Value                    NA       0.93056      0.92754
## Prevalence                         0       0.12338      0.09740
## Detection Rate                     0       0.05844      0.03247
## Detection Prevalence               0       0.06494      0.10390
## Balanced Accuracy                 NA       0.73314      0.62710
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.50000        0.6531         0.9273
## Specificity               0.91304        0.8762         0.8788
## Pos Pred Value            0.40000        0.7111         0.8095
## Neg Pred Value            0.94030        0.8440         0.9560
## Prevalence                0.10390        0.3182         0.3571
## Detection Rate            0.05195        0.2078         0.3312
## Detection Prevalence      0.12987        0.2922         0.4091
## Balanced Accuracy         0.70652        0.7646         0.9030
## Variable  S1.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      8     0     0      0       0
##   (0,2]           0      9     7     4      0       0
##   (2,5]           0      2     5     8      3       0
##   (5,10]          0      0     4     5     30       2
##   (10,50]         0      0     0     0     14      53
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6883          
##                  95% CI : (0.6088, 0.7604)
##     No Information Rate : 0.3571          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.5734          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.42105      0.43750
## Specificity                        1       1.00000      0.90580
## Pos Pred Value                    NA       1.00000      0.35000
## Neg Pred Value                    NA       0.92466      0.93284
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.05195      0.04545
## Detection Prevalence               0       0.05195      0.12987
## Balanced Accuracy                 NA       0.71053      0.67165
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.47059        0.6383         0.9636
## Specificity               0.92701        0.8972         0.8586
## Pos Pred Value            0.44444        0.7317         0.7910
## Neg Pred Value            0.93382        0.8496         0.9770
## Prevalence                0.11039        0.3052         0.3571
## Detection Rate            0.05195        0.1948         0.3442
## Detection Prevalence      0.11688        0.2662         0.4351
## Balanced Accuracy         0.69880        0.7677         0.9111
## Variable  S20.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          1     12     3     0      0       0
##   (0,2]           0      5     4     3      0       0
##   (2,5]           0      1     4     9      8       0
##   (5,10]          0      0     4     3     26       7
##   (10,50]         0      0     0     0     13      51
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6623          
##                  95% CI : (0.5818, 0.7365)
##     No Information Rate : 0.3766          
##     P-Value [Acc > NIR] : 6.693e-13       
##                                           
##                   Kappa : 0.5378          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.66667      0.26667
## Specificity                 1.000000       0.97059      0.94245
## Pos Pred Value                   NaN       0.75000      0.33333
## Neg Pred Value              0.993506       0.95652      0.92254
## Prevalence                  0.006494       0.11688      0.09740
## Detection Rate              0.000000       0.07792      0.02597
## Detection Prevalence        0.000000       0.10390      0.07792
## Balanced Accuracy           0.500000       0.81863      0.60456
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.60000        0.5532         0.8793
## Specificity               0.90647        0.8692         0.8646
## Pos Pred Value            0.40909        0.6500         0.7969
## Neg Pred Value            0.95455        0.8158         0.9222
## Prevalence                0.09740        0.3052         0.3766
## Detection Rate            0.05844        0.1688         0.3312
## Detection Prevalence      0.14286        0.2597         0.4156
## Balanced Accuracy         0.75324        0.7112         0.8719
## Variable  S2.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      6     0     0      0       0
##   (0,2]           0     10     4     4      1       0
##   (2,5]           0      2     6     9      5       0
##   (5,10]          0      0     4     6     31       7
##   (10,50]         0      0     0     0     11      48
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6364          
##                  95% CI : (0.5551, 0.7123)
##     No Information Rate : 0.3571          
##     P-Value [Acc > NIR] : 1.811e-12       
##                                           
##                   Kappa : 0.5037          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.33333      0.28571
## Specificity                        1       1.00000      0.89286
## Pos Pred Value                    NA       1.00000      0.21053
## Neg Pred Value                    NA       0.91892      0.92593
## Prevalence                         0       0.11688      0.09091
## Detection Rate                     0       0.03896      0.02597
## Detection Prevalence               0       0.03896      0.12338
## Balanced Accuracy                 NA       0.66667      0.58929
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.47368        0.6458         0.8727
## Specificity               0.90370        0.8396         0.8889
## Pos Pred Value            0.40909        0.6458         0.8136
## Neg Pred Value            0.92424        0.8396         0.9263
## Prevalence                0.12338        0.3117         0.3571
## Detection Rate            0.05844        0.2013         0.3117
## Detection Prevalence      0.14286        0.3117         0.3831
## Balanced Accuracy         0.68869        0.7427         0.8808
## Variable  S3.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      5     1     1      0       0
##   (0,2]           0      7     6     1      0       0
##   (2,5]           0      4     7     5      4       0
##   (5,10]          0      0     5     9     18       4
##   (10,50]         0      0     0     0     19      58
## 
## Overall Statistics
##                                           
##                Accuracy : 0.5974          
##                  95% CI : (0.5154, 0.6755)
##     No Information Rate : 0.4026          
##     P-Value [Acc > NIR] : 8.434e-07       
##                                           
##                   Kappa : 0.4306          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.31250      0.31579
## Specificity                        1       0.98551      0.94074
## Pos Pred Value                    NA       0.71429      0.42857
## Neg Pred Value                    NA       0.92517      0.90714
## Prevalence                         0       0.10390      0.12338
## Detection Rate                     0       0.03247      0.03896
## Detection Prevalence               0       0.04545      0.09091
## Balanced Accuracy                 NA       0.64900      0.62827
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.31250        0.4390         0.9355
## Specificity               0.89130        0.8407         0.7935
## Pos Pred Value            0.25000        0.5000         0.7532
## Neg Pred Value            0.91791        0.8051         0.9481
## Prevalence                0.10390        0.2662         0.4026
## Detection Rate            0.03247        0.1169         0.3766
## Detection Prevalence      0.12987        0.2338         0.5000
## Balanced Accuracy         0.60190        0.6399         0.8645
## Variable  S4.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      8     2     1      0       0
##   (0,2]           0      8     8     2      0       0
##   (2,5]           0      1     4     8      6       0
##   (5,10]          0      1     4     6     27       7
##   (10,50]         0      0     0     0     15      46
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6299          
##                  95% CI : (0.5484, 0.7062)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : 4.763e-13       
##                                           
##                   Kappa : 0.4978          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.44444      0.44444
## Specificity                        1       0.97794      0.92647
## Pos Pred Value                    NA       0.72727      0.44444
## Neg Pred Value                    NA       0.93007      0.92647
## Prevalence                         0       0.11688      0.11688
## Detection Rate                     0       0.05195      0.05195
## Detection Prevalence               0       0.07143      0.11688
## Balanced Accuracy                 NA       0.71119      0.68546
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.47059        0.5625         0.8679
## Specificity               0.91971        0.8302         0.8515
## Pos Pred Value            0.42105        0.6000         0.7541
## Neg Pred Value            0.93333        0.8073         0.9247
## Prevalence                0.11039        0.3117         0.3442
## Detection Rate            0.05195        0.1753         0.2987
## Detection Prevalence      0.12338        0.2922         0.3961
## Balanced Accuracy         0.69515        0.6963         0.8597
## Variable  S5.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      8     0     0      0       0
##   (0,2]           1      8     6     3      1       0
##   (2,5]           0      3     7    10      6       0
##   (5,10]          0      0     2     2     32       7
##   (10,50]         0      0     0     0      8      50
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6883          
##                  95% CI : (0.6088, 0.7604)
##     No Information Rate : 0.3701          
##     P-Value [Acc > NIR] : 1.196e-15       
##                                           
##                   Kappa : 0.5791          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.42105      0.40000
## Specificity                 1.000000       1.00000      0.90647
## Pos Pred Value                   NaN       1.00000      0.31579
## Neg Pred Value              0.993506       0.92466      0.93333
## Prevalence                  0.006494       0.12338      0.09740
## Detection Rate              0.000000       0.05195      0.03896
## Detection Prevalence        0.000000       0.05195      0.12338
## Balanced Accuracy           0.500000       0.71053      0.65324
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.66667        0.6809         0.8772
## Specificity               0.88489        0.8972         0.9175
## Pos Pred Value            0.38462        0.7442         0.8621
## Neg Pred Value            0.96094        0.8649         0.9271
## Prevalence                0.09740        0.3052         0.3701
## Detection Rate            0.06494        0.2078         0.3247
## Detection Prevalence      0.16883        0.2792         0.3766
## Balanced Accuracy         0.77578        0.7890         0.8974
## Variable  S6.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      7     0     0      0       0
##   (0,2]           0      9     6     3      0       0
##   (2,5]           0      1     4     9      6       0
##   (5,10]          0      0     5     4     27       6
##   (10,50]         0      0     0     0     10      57
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6883          
##                  95% CI : (0.6088, 0.7604)
##     No Information Rate : 0.4091          
##     P-Value [Acc > NIR] : 2.408e-12       
##                                           
##                   Kappa : 0.5647          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.41176      0.40000
## Specificity                        1       1.00000      0.91367
## Pos Pred Value                    NA       1.00000      0.33333
## Neg Pred Value                    NA       0.93197      0.93382
## Prevalence                         0       0.11039      0.09740
## Detection Rate                     0       0.04545      0.03896
## Detection Prevalence               0       0.04545      0.11688
## Balanced Accuracy                 NA       0.70588      0.65683
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.56250        0.6279         0.9048
## Specificity               0.92029        0.8649         0.8901
## Pos Pred Value            0.45000        0.6429         0.8507
## Neg Pred Value            0.94776        0.8571         0.9310
## Prevalence                0.10390        0.2792         0.4091
## Detection Rate            0.05844        0.1753         0.3701
## Detection Prevalence      0.12987        0.2727         0.4351
## Balanced Accuracy         0.74139        0.7464         0.8974
## Variable  S7.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     10     2     0      0       0
##   (0,2]           1      6     4     2      0       0
##   (2,5]           0      4     5     8      5       0
##   (5,10]          0      0     4     7     30       5
##   (10,50]         0      0     0     0     13      48
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6494          
##                  95% CI : (0.5684, 0.7244)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : 1.204e-14       
##                                           
##                   Kappa : 0.5239          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.50000      0.26667
## Specificity                 1.000000       0.98507      0.93525
## Pos Pred Value                   NaN       0.83333      0.30769
## Neg Pred Value              0.993506       0.92958      0.92199
## Prevalence                  0.006494       0.12987      0.09740
## Detection Rate              0.000000       0.06494      0.02597
## Detection Prevalence        0.000000       0.07792      0.08442
## Balanced Accuracy           0.500000       0.74254      0.60096
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.47059        0.6250         0.9057
## Specificity               0.89781        0.8491         0.8713
## Pos Pred Value            0.36364        0.6522         0.7869
## Neg Pred Value            0.93182        0.8333         0.9462
## Prevalence                0.11039        0.3117         0.3442
## Detection Rate            0.05195        0.1948         0.3117
## Detection Prevalence      0.14286        0.2987         0.3961
## Balanced Accuracy         0.68420        0.7370         0.8885
## Variable  S8.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     13     3     2      0       0
##   (0,2]           0      4     6     3      0       0
##   (2,5]           0      2     2     6      4       0
##   (5,10]          0      0     4     5     34       9
##   (10,50]         0      0     0     1     12      44
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6688          
##                  95% CI : (0.5885, 0.7425)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : 2.365e-16       
##                                           
##                   Kappa : 0.5465          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.68421      0.40000
## Specificity                        1       0.96296      0.94964
## Pos Pred Value                    NA       0.72222      0.46154
## Neg Pred Value                    NA       0.95588      0.93617
## Prevalence                         0       0.12338      0.09740
## Detection Rate                     0       0.08442      0.03896
## Detection Prevalence               0       0.11688      0.08442
## Balanced Accuracy                 NA       0.82359      0.67482
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.35294        0.6800         0.8302
## Specificity               0.94161        0.8269         0.8713
## Pos Pred Value            0.42857        0.6538         0.7719
## Neg Pred Value            0.92143        0.8431         0.9072
## Prevalence                0.11039        0.3247         0.3442
## Detection Rate            0.03896        0.2208         0.2857
## Detection Prevalence      0.09091        0.3377         0.3701
## Balanced Accuracy         0.64727        0.7535         0.8507
## Variable  S9.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          1      9     2     1      0       0
##   (0,2]           1      6     5     1      1       0
##   (2,5]           0      3     5     9      5       0
##   (5,10]          0      1     3     6     33       6
##   (10,50]         0      0     0     0     12      44
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6494          
##                  95% CI : (0.5684, 0.7244)
##     No Information Rate : 0.3312          
##     P-Value [Acc > NIR] : 7.255e-16       
##                                           
##                   Kappa : 0.5271          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                  0.00000       0.47368      0.33333
## Specificity                  1.00000       0.97037      0.93525
## Pos Pred Value                   NaN       0.69231      0.35714
## Neg Pred Value               0.98701       0.92908      0.92857
## Prevalence                   0.01299       0.12338      0.09740
## Detection Rate               0.00000       0.05844      0.03247
## Detection Prevalence         0.00000       0.08442      0.09091
## Balanced Accuracy            0.50000       0.72203      0.63429
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.52941        0.6471         0.8800
## Specificity               0.90511        0.8447         0.8846
## Pos Pred Value            0.40909        0.6735         0.7857
## Neg Pred Value            0.93939        0.8286         0.9388
## Prevalence                0.11039        0.3312         0.3247
## Detection Rate            0.05844        0.2143         0.2857
## Detection Prevalence      0.14286        0.3182         0.3636
## Balanced Accuracy         0.71726        0.7459         0.8823

Test de predicción con randomForest

library(randomForest)
## randomForest 4.6-12
## Type rfNews() to see new features/changes/bug fixes.
## 
## Attaching package: 'randomForest'
## The following object is masked from 'package:ggplot2':
## 
##     margin
library(miscTools)
library(ggplot2)


for(i in 1:length(pred_sensores))
{
  # determinar la variable predictora
  y_label <- pred_sensores[i]
  df2 <- df
  #' renombro variable predictora por y, para facilitar formula 
  colnames(df2)[which(colnames(df2)==y_label)] <- "y"
  #' quito las otras variables predictoras, ya que solo analizaré la que se encuentre en y_label
  #' 
  df2 <- df2[,-which(names(df2) %in% pred_sensores)]
  colnames(df2)
  
  # train y test set
  until <- round(nrow(df2)*.67)
  training.set = df2[1:until, ] # This is training set to learn the parameters
  test.set = df2[until:nrow(df2), ]
  
  
  model <- randomForest(y ~ ., data = training.set, importance = TRUE )
  pred <- predict(model, test.set)
  #View(cbind(pred,test.set$y))
  mse <- mean((test.set$y - pred)^2)
  r2 <- rSquared(test.set$y, test.set$y - pred)
  
  cat("Variable ",pred_sensores[i]," MSE:",mse," Rsquared: ",r2)
  
  #' Plot R_2, valores predichos vs valores reales
  #' 
  
  p <- ggplot(aes(x=actual, y=pred),
              data=data.frame(actual=test.set$y, pred=pred))
  p2 <- p + geom_point() +
    geom_abline(color="red") +
    ggtitle(paste("RandomForest Regression in R r^2=", r2, sep=""))
  
  plot(p2)
  
  cat("Confusion matrix helada/no helada",pred_sensores[2],"\n")
  
  y <- cut(test.set[,"y"], breaks = breaks.binario)
  y_pred <- cut(pred, breaks = breaks.binario)
  print(confusionMatrix(y_pred,y))
  
  cat("Confusion matrix ",pred_sensores[i],"\n")    
  y <- cut(test.set[, "y"], breaks = my.breaks)
  y_pred <- cut(pred, breaks = my.breaks)
  print(confusionMatrix(y_pred,y))
  
  
}
## Variable  S10.min_t  MSE: 5.582342  Rsquared:  0.8335908

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      10      2
##    (0,50]       10    132
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8701          
##     P-Value [Acc > NIR] : 0.03001         
##                                           
##                   Kappa : 0.5845          
##  Mcnemar's Test P-Value : 0.04331         
##                                           
##             Sensitivity : 0.50000         
##             Specificity : 0.98507         
##          Pos Pred Value : 0.83333         
##          Neg Pred Value : 0.92958         
##              Prevalence : 0.12987         
##          Detection Rate : 0.06494         
##    Detection Prevalence : 0.07792         
##       Balanced Accuracy : 0.74254         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S10.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     10     2     0      0       0
##   (0,2]           1      6     6     4      1       0
##   (2,5]           0      3     4     7      7       0
##   (5,10]          0      0     3     5     31       4
##   (10,50]         0      0     0     0     13      47
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6558          
##                  95% CI : (0.5751, 0.7304)
##     No Information Rate : 0.3377          
##     P-Value [Acc > NIR] : 8.142e-16       
##                                           
##                   Kappa : 0.5359          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.52632      0.40000
## Specificity                 1.000000       0.98519      0.91367
## Pos Pred Value                   NaN       0.83333      0.33333
## Neg Pred Value              0.993506       0.93662      0.93382
## Prevalence                  0.006494       0.12338      0.09740
## Detection Rate              0.000000       0.06494      0.03896
## Detection Prevalence        0.000000       0.07792      0.11688
## Balanced Accuracy           0.500000       0.75575      0.65683
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.43750        0.5962         0.9216
## Specificity               0.89855        0.8824         0.8738
## Pos Pred Value            0.33333        0.7209         0.7833
## Neg Pred Value            0.93233        0.8108         0.9574
## Prevalence                0.10390        0.3377         0.3312
## Detection Rate            0.04545        0.2013         0.3052
## Detection Prevalence      0.13636        0.2792         0.3896
## Balanced Accuracy         0.66803        0.7393         0.8977
## Variable  S11.min_t  MSE: 5.244621  Rsquared:  0.8433843

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11      1
##    (0,50]        8    134
##                                          
##                Accuracy : 0.9416         
##                  95% CI : (0.892, 0.9729)
##     No Information Rate : 0.8766         
##     P-Value [Acc > NIR] : 0.006027       
##                                          
##                   Kappa : 0.679          
##  Mcnemar's Test P-Value : 0.045500       
##                                          
##             Sensitivity : 0.57895        
##             Specificity : 0.99259        
##          Pos Pred Value : 0.91667        
##          Neg Pred Value : 0.94366        
##              Prevalence : 0.12338        
##          Detection Rate : 0.07143        
##    Detection Prevalence : 0.07792        
##       Balanced Accuracy : 0.78577        
##                                          
##        'Positive' Class : (-10,0]        
##                                          
## Confusion matrix  S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     11     1     0      0       0
##   (0,2]           0      6     7     4      1       0
##   (2,5]           0      2     6     7      6       0
##   (5,10]          0      0     3     6     29       4
##   (10,50]         0      0     0     0     14      47
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6558          
##                  95% CI : (0.5751, 0.7304)
##     No Information Rate : 0.3312          
##     P-Value [Acc > NIR] : < 2.2e-16       
##                                           
##                   Kappa : 0.5366          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.57895      0.41176
## Specificity                        1       0.99259      0.91971
## Pos Pred Value                    NA       0.91667      0.38889
## Neg Pred Value                    NA       0.94366      0.92647
## Prevalence                         0       0.12338      0.11039
## Detection Rate                     0       0.07143      0.04545
## Detection Prevalence               0       0.07792      0.11688
## Balanced Accuracy                 NA       0.78577      0.66574
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.41176        0.5800         0.9216
## Specificity               0.89781        0.8750         0.8641
## Pos Pred Value            0.33333        0.6905         0.7705
## Neg Pred Value            0.92481        0.8125         0.9570
## Prevalence                0.11039        0.3247         0.3312
## Detection Rate            0.04545        0.1883         0.3052
## Detection Prevalence      0.13636        0.2727         0.3961
## Balanced Accuracy         0.65479        0.7275         0.8928
## Variable  S12.min_t  MSE: 5.704803  Rsquared:  0.8305174

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       5      0
##    (0,50]       14    135
##                                           
##                Accuracy : 0.9091          
##                  95% CI : (0.8522, 0.9494)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.133147        
##                                           
##                   Kappa : 0.3851          
##  Mcnemar's Test P-Value : 0.000512        
##                                           
##             Sensitivity : 0.26316         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.90604         
##              Prevalence : 0.12338         
##          Detection Rate : 0.03247         
##    Detection Prevalence : 0.03247         
##       Balanced Accuracy : 0.63158         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S12.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      5     0     0      0       0
##   (0,2]           0     11     7     2      0       0
##   (2,5]           0      3     6     7      7       0
##   (5,10]          0      0     3     6     28       5
##   (10,50]         0      0     0     0     15      49
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6234          
##                  95% CI : (0.5418, 0.7001)
##     No Information Rate : 0.3506          
##     P-Value [Acc > NIR] : 5.257e-12       
##                                           
##                   Kappa : 0.4867          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.26316      0.43750
## Specificity                        1       1.00000      0.90580
## Pos Pred Value                    NA       1.00000      0.35000
## Neg Pred Value                    NA       0.90604      0.93284
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.03247      0.04545
## Detection Prevalence               0       0.03247      0.12987
## Balanced Accuracy                 NA       0.63158      0.67165
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.46667        0.5600         0.9074
## Specificity               0.88489        0.8654         0.8500
## Pos Pred Value            0.30435        0.6667         0.7656
## Neg Pred Value            0.93893        0.8036         0.9444
## Prevalence                0.09740        0.3247         0.3506
## Detection Rate            0.04545        0.1818         0.3182
## Detection Prevalence      0.14935        0.2727         0.4156
## Balanced Accuracy         0.67578        0.7127         0.8787
## Variable  S13.min_t  MSE: 5.21656  Rsquared:  0.8431951

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       5      0
##    (0,50]       14    135
##                                           
##                Accuracy : 0.9091          
##                  95% CI : (0.8522, 0.9494)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.133147        
##                                           
##                   Kappa : 0.3851          
##  Mcnemar's Test P-Value : 0.000512        
##                                           
##             Sensitivity : 0.26316         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.90604         
##              Prevalence : 0.12338         
##          Detection Rate : 0.03247         
##    Detection Prevalence : 0.03247         
##       Balanced Accuracy : 0.63158         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S13.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      5     0     0      0       0
##   (0,2]           0     11     8     2      0       0
##   (2,5]           0      3     4     7      7       0
##   (5,10]          0      0     3     6     27       6
##   (10,50]         0      0     0     0     13      52
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6429          
##                  95% CI : (0.5618, 0.7184)
##     No Information Rate : 0.3766          
##     P-Value [Acc > NIR] : 2.065e-11       
##                                           
##                   Kappa : 0.5089          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.26316      0.53333
## Specificity                        1       1.00000      0.90647
## Pos Pred Value                    NA       1.00000      0.38095
## Neg Pred Value                    NA       0.90604      0.94737
## Prevalence                         0       0.12338      0.09740
## Detection Rate                     0       0.03247      0.05195
## Detection Prevalence               0       0.03247      0.13636
## Balanced Accuracy                 NA       0.63158      0.71990
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.46667        0.5745         0.8966
## Specificity               0.89928        0.8598         0.8646
## Pos Pred Value            0.33333        0.6429         0.8000
## Neg Pred Value            0.93985        0.8214         0.9326
## Prevalence                0.09740        0.3052         0.3766
## Detection Rate            0.04545        0.1753         0.3377
## Detection Prevalence      0.13636        0.2727         0.4221
## Balanced Accuracy         0.68297        0.7171         0.8806
## Variable  S14.min_t  MSE: 5.219279  Rsquared:  0.8411804

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       7      0
##    (0,50]       12    135
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.049328        
##                                           
##                   Kappa : 0.5056          
##  Mcnemar's Test P-Value : 0.001496        
##                                           
##             Sensitivity : 0.36842         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.91837         
##              Prevalence : 0.12338         
##          Detection Rate : 0.04545         
##    Detection Prevalence : 0.04545         
##       Balanced Accuracy : 0.68421         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S14.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      7     0     0      0       0
##   (0,2]           1      8     7     4      0       0
##   (2,5]           0      3     5     6      8       0
##   (5,10]          0      0     3     6     29       4
##   (10,50]         0      0     0     0     13      50
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6429          
##                  95% CI : (0.5618, 0.7184)
##     No Information Rate : 0.3506          
##     P-Value [Acc > NIR] : 1.57e-13        
##                                           
##                   Kappa : 0.5142          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.38889      0.46667
## Specificity                 1.000000       1.00000      0.90647
## Pos Pred Value                   NaN       1.00000      0.35000
## Neg Pred Value              0.993506       0.92517      0.94030
## Prevalence                  0.006494       0.11688      0.09740
## Detection Rate              0.000000       0.04545      0.04545
## Detection Prevalence        0.000000       0.04545      0.12987
## Balanced Accuracy           0.500000       0.69444      0.68657
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.37500        0.5800         0.9259
## Specificity               0.88406        0.8750         0.8700
## Pos Pred Value            0.27273        0.6905         0.7937
## Neg Pred Value            0.92424        0.8125         0.9560
## Prevalence                0.10390        0.3247         0.3506
## Detection Rate            0.03896        0.1883         0.3247
## Detection Prevalence      0.14286        0.2727         0.4091
## Balanced Accuracy         0.62953        0.7275         0.8980
## Variable  S15.min_t  MSE: 5.194801  Rsquared:  0.8390262

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11      2
##    (0,50]        8    133
##                                           
##                Accuracy : 0.9351          
##                  95% CI : (0.8838, 0.9684)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.01333         
##                                           
##                   Kappa : 0.6527          
##  Mcnemar's Test P-Value : 0.11385         
##                                           
##             Sensitivity : 0.57895         
##             Specificity : 0.98519         
##          Pos Pred Value : 0.84615         
##          Neg Pred Value : 0.94326         
##              Prevalence : 0.12338         
##          Detection Rate : 0.07143         
##    Detection Prevalence : 0.08442         
##       Balanced Accuracy : 0.78207         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S15.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     11     2     0      0       0
##   (0,2]           0      6     6     5      1       0
##   (2,5]           0      2     5     8      5       0
##   (5,10]          0      0     3     6     30       5
##   (10,50]         0      0     0     0     15      44
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6429          
##                  95% CI : (0.5618, 0.7184)
##     No Information Rate : 0.3312          
##     P-Value [Acc > NIR] : 2.691e-15       
##                                           
##                   Kappa : 0.5205          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.57895      0.37500
## Specificity                        1       0.98519      0.91304
## Pos Pred Value                    NA       0.84615      0.33333
## Neg Pred Value                    NA       0.94326      0.92647
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.07143      0.03896
## Detection Prevalence               0       0.08442      0.11688
## Balanced Accuracy                 NA       0.78207      0.64402
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.42105        0.5882         0.8980
## Specificity               0.91111        0.8641         0.8571
## Pos Pred Value            0.40000        0.6818         0.7458
## Neg Pred Value            0.91791        0.8091         0.9474
## Prevalence                0.12338        0.3312         0.3182
## Detection Rate            0.05195        0.1948         0.2857
## Detection Prevalence      0.12987        0.2857         0.3831
## Balanced Accuracy         0.66608        0.7262         0.8776
## Variable  S16.min_t  MSE: 6.051524  Rsquared:  0.8143333

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       5      0
##    (0,50]       11    138
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8961          
##     P-Value [Acc > NIR] : 0.113686        
##                                           
##                   Kappa : 0.4489          
##  Mcnemar's Test P-Value : 0.002569        
##                                           
##             Sensitivity : 0.31250         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.92617         
##              Prevalence : 0.10390         
##          Detection Rate : 0.03247         
##    Detection Prevalence : 0.03247         
##       Balanced Accuracy : 0.65625         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S16.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      5     0     0      0       0
##   (0,2]           0     10     4     3      0       0
##   (2,5]           0      1     6    11      7       0
##   (5,10]          0      0     3     7     23       5
##   (10,50]         0      0     0     0     17      52
## 
## Overall Statistics
##                                          
##                Accuracy : 0.6169         
##                  95% CI : (0.5352, 0.694)
##     No Information Rate : 0.3701         
##     P-Value [Acc > NIR] : 4.724e-10      
##                                          
##                   Kappa : 0.4709         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.31250      0.30769
## Specificity                        1       1.00000      0.90780
## Pos Pred Value                    NA       1.00000      0.23529
## Neg Pred Value                    NA       0.92617      0.93431
## Prevalence                         0       0.10390      0.08442
## Detection Rate                     0       0.03247      0.02597
## Detection Prevalence               0       0.03247      0.11039
## Balanced Accuracy                 NA       0.65625      0.60775
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.52381        0.4894         0.9123
## Specificity               0.89474        0.8598         0.8247
## Pos Pred Value            0.44000        0.6053         0.7536
## Neg Pred Value            0.92248        0.7931         0.9412
## Prevalence                0.13636        0.3052         0.3701
## Detection Rate            0.07143        0.1494         0.3377
## Detection Prevalence      0.16234        0.2468         0.4481
## Balanced Accuracy         0.70927        0.6746         0.8685
## Variable  S18.min_t  MSE: 5.372794  Rsquared:  0.8389333

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8      2
##    (0,50]       11    133
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8766        
##     P-Value [Acc > NIR] : 0.0840        
##                                         
##                   Kappa : 0.51          
##  Mcnemar's Test P-Value : 0.0265        
##                                         
##             Sensitivity : 0.42105       
##             Specificity : 0.98519       
##          Pos Pred Value : 0.80000       
##          Neg Pred Value : 0.92361       
##              Prevalence : 0.12338       
##          Detection Rate : 0.05195       
##    Detection Prevalence : 0.06494       
##       Balanced Accuracy : 0.70312       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Confusion matrix  S18.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      8     2     0      0       0
##   (0,2]           0      8     6     3      1       0
##   (2,5]           0      3     5     8      6       0
##   (5,10]          0      0     3     5     29       5
##   (10,50]         0      0     0     0     14      48
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6429          
##                  95% CI : (0.5618, 0.7184)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : 4.217e-14       
##                                           
##                   Kappa : 0.516           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.42105      0.37500
## Specificity                        1       0.98519      0.91304
## Pos Pred Value                    NA       0.80000      0.33333
## Neg Pred Value                    NA       0.92361      0.92647
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.05195      0.03896
## Detection Prevalence               0       0.06494      0.11688
## Balanced Accuracy                 NA       0.70312      0.64402
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.50000        0.5800         0.9057
## Specificity               0.89855        0.8750         0.8614
## Pos Pred Value            0.36364        0.6905         0.7742
## Neg Pred Value            0.93939        0.8125         0.9457
## Prevalence                0.10390        0.3247         0.3442
## Detection Rate            0.05195        0.1883         0.3117
## Detection Prevalence      0.14286        0.2727         0.4026
## Balanced Accuracy         0.69928        0.7275         0.8835
## Variable  S19.min_t  MSE: 5.536262  Rsquared:  0.8364076

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       7      0
##    (0,50]       12    135
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.049328        
##                                           
##                   Kappa : 0.5056          
##  Mcnemar's Test P-Value : 0.001496        
##                                           
##             Sensitivity : 0.36842         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.91837         
##              Prevalence : 0.12338         
##          Detection Rate : 0.04545         
##    Detection Prevalence : 0.04545         
##       Balanced Accuracy : 0.68421         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S19.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      7     0     0      0       0
##   (0,2]           0      9     6     3      0       0
##   (2,5]           0      3     6     7      8       0
##   (5,10]          0      0     3     6     29       5
##   (10,50]         0      0     0     0     12      50
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6429          
##                  95% CI : (0.5618, 0.7184)
##     No Information Rate : 0.3571          
##     P-Value [Acc > NIR] : 5.624e-13       
##                                           
##                   Kappa : 0.5136          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.36842      0.40000
## Specificity                        1       1.00000      0.91367
## Pos Pred Value                    NA       1.00000      0.33333
## Neg Pred Value                    NA       0.91837      0.93382
## Prevalence                         0       0.12338      0.09740
## Detection Rate                     0       0.04545      0.03896
## Detection Prevalence               0       0.04545      0.11688
## Balanced Accuracy                 NA       0.68421      0.65683
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.43750        0.5918         0.9091
## Specificity               0.87681        0.8667         0.8788
## Pos Pred Value            0.29167        0.6744         0.8065
## Neg Pred Value            0.93077        0.8198         0.9457
## Prevalence                0.10390        0.3182         0.3571
## Detection Rate            0.04545        0.1883         0.3247
## Detection Prevalence      0.15584        0.2792         0.4026
## Balanced Accuracy         0.65716        0.7293         0.8939
## Variable  S1.min_t  MSE: 5.345799  Rsquared:  0.8447577

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       9      1
##    (0,50]       10    134
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.02677         
##                                           
##                   Kappa : 0.5854          
##  Mcnemar's Test P-Value : 0.01586         
##                                           
##             Sensitivity : 0.47368         
##             Specificity : 0.99259         
##          Pos Pred Value : 0.90000         
##          Neg Pred Value : 0.93056         
##              Prevalence : 0.12338         
##          Detection Rate : 0.05844         
##    Detection Prevalence : 0.06494         
##       Balanced Accuracy : 0.73314         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S1.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      9     1     0      0       0
##   (0,2]           0      7     7     4      1       0
##   (2,5]           0      3     5     7      7       0
##   (5,10]          0      0     3     6     28       4
##   (10,50]         0      0     0     0     11      51
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6623          
##                  95% CI : (0.5818, 0.7365)
##     No Information Rate : 0.3571          
##     P-Value [Acc > NIR] : 1.423e-14       
##                                           
##                   Kappa : 0.5427          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.47368      0.43750
## Specificity                        1       0.99259      0.91304
## Pos Pred Value                    NA       0.90000      0.36842
## Neg Pred Value                    NA       0.93056      0.93333
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.05844      0.04545
## Detection Prevalence               0       0.06494      0.12338
## Balanced Accuracy                 NA       0.73314      0.67527
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.41176        0.5957         0.9273
## Specificity               0.89051        0.8785         0.8889
## Pos Pred Value            0.31818        0.6829         0.8226
## Neg Pred Value            0.92424        0.8319         0.9565
## Prevalence                0.11039        0.3052         0.3571
## Detection Rate            0.04545        0.1818         0.3312
## Detection Prevalence      0.14286        0.2662         0.4026
## Balanced Accuracy         0.65114        0.7371         0.9081
## Variable  S20.min_t  MSE: 5.300958  Rsquared:  0.8433489

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       6      0
##    (0,50]       13    135
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8766        
##     P-Value [Acc > NIR] : 0.0840000     
##                                         
##                   Kappa : 0.4473        
##  Mcnemar's Test P-Value : 0.0008741     
##                                         
##             Sensitivity : 0.31579       
##             Specificity : 1.00000       
##          Pos Pred Value : 1.00000       
##          Neg Pred Value : 0.91216       
##              Prevalence : 0.12338       
##          Detection Rate : 0.03896       
##    Detection Prevalence : 0.03896       
##       Balanced Accuracy : 0.65789       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Confusion matrix  S20.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      6     0     0      0       0
##   (0,2]           1      9     6     4      1       0
##   (2,5]           0      3     6     5      6       0
##   (5,10]          0      0     3     6     28       6
##   (10,50]         0      0     0     0     12      52
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6299          
##                  95% CI : (0.5484, 0.7062)
##     No Information Rate : 0.3766          
##     P-Value [Acc > NIR] : 1.768e-10       
##                                           
##                   Kappa : 0.4914          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.33333      0.40000
## Specificity                 1.000000       1.00000      0.89209
## Pos Pred Value                   NaN       1.00000      0.28571
## Neg Pred Value              0.993506       0.91892      0.93233
## Prevalence                  0.006494       0.11688      0.09740
## Detection Rate              0.000000       0.03896      0.03896
## Detection Prevalence        0.000000       0.03896      0.13636
## Balanced Accuracy           0.500000       0.66667      0.64604
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.33333        0.5957         0.8966
## Specificity               0.89209        0.8598         0.8750
## Pos Pred Value            0.25000        0.6512         0.8125
## Neg Pred Value            0.92537        0.8288         0.9333
## Prevalence                0.09740        0.3052         0.3766
## Detection Rate            0.03247        0.1818         0.3377
## Detection Prevalence      0.12987        0.2792         0.4156
## Balanced Accuracy         0.61271        0.7278         0.8858
## Variable  S2.min_t  MSE: 5.316701  Rsquared:  0.8387682

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       6      0
##    (0,50]       12    136
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8831          
##     P-Value [Acc > NIR] : 0.078473        
##                                           
##                   Kappa : 0.469           
##  Mcnemar's Test P-Value : 0.001496        
##                                           
##             Sensitivity : 0.33333         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.91892         
##              Prevalence : 0.11688         
##          Detection Rate : 0.03896         
##    Detection Prevalence : 0.03896         
##       Balanced Accuracy : 0.66667         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S2.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      6     0     0      0       0
##   (0,2]           0     10     4     6      0       0
##   (2,5]           0      2     7     6      7       0
##   (5,10]          0      0     3     7     27       4
##   (10,50]         0      0     0     0     14      51
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6104          
##                  95% CI : (0.5286, 0.6878)
##     No Information Rate : 0.3571          
##     P-Value [Acc > NIR] : 1.485e-10       
##                                           
##                   Kappa : 0.468           
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.33333      0.28571
## Specificity                        1       1.00000      0.88571
## Pos Pred Value                    NA       1.00000      0.20000
## Neg Pred Value                    NA       0.91892      0.92537
## Prevalence                         0       0.11688      0.09091
## Detection Rate                     0       0.03896      0.02597
## Detection Prevalence               0       0.03896      0.12987
## Balanced Accuracy                 NA       0.66667      0.58571
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.31579        0.5625         0.9273
## Specificity               0.88148        0.8679         0.8586
## Pos Pred Value            0.27273        0.6585         0.7846
## Neg Pred Value            0.90152        0.8142         0.9551
## Prevalence                0.12338        0.3117         0.3571
## Detection Rate            0.03896        0.1753         0.3312
## Detection Prevalence      0.14286        0.2662         0.4221
## Balanced Accuracy         0.59864        0.7152         0.8929
## Variable  S3.min_t  MSE: 5.175089  Rsquared:  0.8454053

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       5      0
##    (0,50]       11    138
##                                           
##                Accuracy : 0.9286          
##                  95% CI : (0.8758, 0.9638)
##     No Information Rate : 0.8961          
##     P-Value [Acc > NIR] : 0.113686        
##                                           
##                   Kappa : 0.4489          
##  Mcnemar's Test P-Value : 0.002569        
##                                           
##             Sensitivity : 0.31250         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.92617         
##              Prevalence : 0.10390         
##          Detection Rate : 0.03247         
##    Detection Prevalence : 0.03247         
##       Balanced Accuracy : 0.65625         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S3.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      5     0     0      0       0
##   (0,2]           0     10     7     2      0       0
##   (2,5]           0      1     9     7      6       0
##   (5,10]          0      0     3     7     27       5
##   (10,50]         0      0     0     0      8      57
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6688          
##                  95% CI : (0.5885, 0.7425)
##     No Information Rate : 0.4026          
##     P-Value [Acc > NIR] : 2.324e-11       
##                                           
##                   Kappa : 0.5422          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.31250      0.36842
## Specificity                        1       1.00000      0.91111
## Pos Pred Value                    NA       1.00000      0.36842
## Neg Pred Value                    NA       0.92617      0.91111
## Prevalence                         0       0.10390      0.12338
## Detection Rate                     0       0.03247      0.04545
## Detection Prevalence               0       0.03247      0.12338
## Balanced Accuracy                 NA       0.65625      0.63977
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.43750        0.6585         0.9194
## Specificity               0.88406        0.8673         0.9130
## Pos Pred Value            0.30435        0.6429         0.8769
## Neg Pred Value            0.93130        0.8750         0.9438
## Prevalence                0.10390        0.2662         0.4026
## Detection Rate            0.04545        0.1753         0.3701
## Detection Prevalence      0.14935        0.2727         0.4221
## Balanced Accuracy         0.66078        0.7629         0.9162
## Variable  S4.min_t  MSE: 5.052811  Rsquared:  0.8500618

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       9      3
##    (0,50]        9    133
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8831          
##     P-Value [Acc > NIR] : 0.07847         
##                                           
##                   Kappa : 0.5587          
##  Mcnemar's Test P-Value : 0.14891         
##                                           
##             Sensitivity : 0.50000         
##             Specificity : 0.97794         
##          Pos Pred Value : 0.75000         
##          Neg Pred Value : 0.93662         
##              Prevalence : 0.11688         
##          Detection Rate : 0.05844         
##    Detection Prevalence : 0.07792         
##       Balanced Accuracy : 0.73897         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S4.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      9     3     0      0       0
##   (0,2]           0      6     7     3      1       0
##   (2,5]           0      3     5     8      6       0
##   (5,10]          0      0     3     6     27       5
##   (10,50]         0      0     0     0     14      48
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6429          
##                  95% CI : (0.5618, 0.7184)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : 4.217e-14       
##                                           
##                   Kappa : 0.5178          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.50000      0.38889
## Specificity                        1       0.97794      0.92647
## Pos Pred Value                    NA       0.75000      0.41176
## Neg Pred Value                    NA       0.93662      0.91971
## Prevalence                         0       0.11688      0.11688
## Detection Rate                     0       0.05844      0.04545
## Detection Prevalence               0       0.07792      0.11039
## Balanced Accuracy                 NA       0.73897      0.65768
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.47059        0.5625         0.9057
## Specificity               0.89781        0.8679         0.8614
## Pos Pred Value            0.36364        0.6585         0.7742
## Neg Pred Value            0.93182        0.8142         0.9457
## Prevalence                0.11039        0.3117         0.3442
## Detection Rate            0.05195        0.1753         0.3117
## Detection Prevalence      0.14286        0.2662         0.4026
## Balanced Accuracy         0.68420        0.7152         0.8835
## Variable  S5.min_t  MSE: 5.669448  Rsquared:  0.8392756

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8      1
##    (0,50]       12    133
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8701        
##     P-Value [Acc > NIR] : 0.053683      
##                                         
##                   Kappa : 0.5124        
##  Mcnemar's Test P-Value : 0.005546      
##                                         
##             Sensitivity : 0.40000       
##             Specificity : 0.99254       
##          Pos Pred Value : 0.88889       
##          Neg Pred Value : 0.91724       
##              Prevalence : 0.12987       
##          Detection Rate : 0.05195       
##    Detection Prevalence : 0.05844       
##       Balanced Accuracy : 0.69627       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Confusion matrix  S5.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      8     1     0      0       0
##   (0,2]           1      7     7     4      0       0
##   (2,5]           0      4     4     5      7       0
##   (5,10]          0      0     3     6     29       5
##   (10,50]         0      0     0     0     11      52
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6558          
##                  95% CI : (0.5751, 0.7304)
##     No Information Rate : 0.3701          
##     P-Value [Acc > NIR] : 6.378e-13       
##                                           
##                   Kappa : 0.5295          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.42105      0.46667
## Specificity                 1.000000       0.99259      0.91367
## Pos Pred Value                   NaN       0.88889      0.36842
## Neg Pred Value              0.993506       0.92414      0.94074
## Prevalence                  0.006494       0.12338      0.09740
## Detection Rate              0.000000       0.05195      0.04545
## Detection Prevalence        0.000000       0.05844      0.12338
## Balanced Accuracy           0.500000       0.70682      0.69017
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.33333        0.6170         0.9123
## Specificity               0.89209        0.8692         0.8866
## Pos Pred Value            0.25000        0.6744         0.8254
## Neg Pred Value            0.92537        0.8378         0.9451
## Prevalence                0.09740        0.3052         0.3701
## Detection Rate            0.03247        0.1883         0.3377
## Detection Prevalence      0.12987        0.2792         0.4091
## Balanced Accuracy         0.61271        0.7431         0.8994
## Variable  S6.min_t  MSE: 5.277193  Rsquared:  0.846052

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       5      0
##    (0,50]       12    137
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8896          
##     P-Value [Acc > NIR] : 0.120600        
##                                           
##                   Kappa : 0.4257          
##  Mcnemar's Test P-Value : 0.001496        
##                                           
##             Sensitivity : 0.29412         
##             Specificity : 1.00000         
##          Pos Pred Value : 1.00000         
##          Neg Pred Value : 0.91946         
##              Prevalence : 0.11039         
##          Detection Rate : 0.03247         
##    Detection Prevalence : 0.03247         
##       Balanced Accuracy : 0.64706         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S6.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      5     0     0      0       0
##   (0,2]           0     11     5     4      0       0
##   (2,5]           0      1     7     6      8       0
##   (5,10]          0      0     3     6     26       6
##   (10,50]         0      0     0     0      9      57
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6429          
##                  95% CI : (0.5618, 0.7184)
##     No Information Rate : 0.4091          
##     P-Value [Acc > NIR] : 4.206e-09       
##                                           
##                   Kappa : 0.5035          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.29412      0.33333
## Specificity                        1       1.00000      0.89209
## Pos Pred Value                    NA       1.00000      0.25000
## Neg Pred Value                    NA       0.91946      0.92537
## Prevalence                         0       0.11039      0.09740
## Detection Rate                     0       0.03247      0.03247
## Detection Prevalence               0       0.03247      0.12987
## Balanced Accuracy                 NA       0.64706      0.61271
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.37500        0.6047         0.9048
## Specificity               0.88406        0.8649         0.9011
## Pos Pred Value            0.27273        0.6341         0.8636
## Neg Pred Value            0.92424        0.8496         0.9318
## Prevalence                0.10390        0.2792         0.4091
## Detection Rate            0.03896        0.1688         0.3701
## Detection Prevalence      0.14286        0.2662         0.4286
## Balanced Accuracy         0.62953        0.7348         0.9029
## Variable  S7.min_t  MSE: 5.589131  Rsquared:  0.8343217

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      10      1
##    (0,50]       11    132
##                                           
##                Accuracy : 0.9221          
##                  95% CI : (0.8678, 0.9591)
##     No Information Rate : 0.8636          
##     P-Value [Acc > NIR] : 0.017697        
##                                           
##                   Kappa : 0.5862          
##  Mcnemar's Test P-Value : 0.009375        
##                                           
##             Sensitivity : 0.47619         
##             Specificity : 0.99248         
##          Pos Pred Value : 0.90909         
##          Neg Pred Value : 0.92308         
##              Prevalence : 0.13636         
##          Detection Rate : 0.06494         
##    Detection Prevalence : 0.07143         
##       Balanced Accuracy : 0.73434         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Confusion matrix  S7.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     10     1     0      0       0
##   (0,2]           1      7     7     3      1       0
##   (2,5]           0      3     4     7      7       0
##   (5,10]          0      0     3     7     28       5
##   (10,50]         0      0     0     0     12      48
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6494          
##                  95% CI : (0.5684, 0.7244)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : 1.204e-14       
##                                           
##                   Kappa : 0.5278          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.50000      0.46667
## Specificity                 1.000000       0.99254      0.91367
## Pos Pred Value                   NaN       0.90909      0.36842
## Neg Pred Value              0.993506       0.93007      0.94074
## Prevalence                  0.006494       0.12987      0.09740
## Detection Rate              0.000000       0.06494      0.04545
## Detection Prevalence        0.000000       0.07143      0.12338
## Balanced Accuracy           0.500000       0.74627      0.69017
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.41176        0.5833         0.9057
## Specificity               0.89781        0.8585         0.8812
## Pos Pred Value            0.33333        0.6512         0.8000
## Neg Pred Value            0.92481        0.8198         0.9468
## Prevalence                0.11039        0.3117         0.3442
## Detection Rate            0.04545        0.1818         0.3117
## Detection Prevalence      0.13636        0.2792         0.3896
## Balanced Accuracy         0.65479        0.7209         0.8934
## Variable  S8.min_t  MSE: 5.618876  Rsquared:  0.8327185

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       6      0
##    (0,50]       13    135
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8766        
##     P-Value [Acc > NIR] : 0.0840000     
##                                         
##                   Kappa : 0.4473        
##  Mcnemar's Test P-Value : 0.0008741     
##                                         
##             Sensitivity : 0.31579       
##             Specificity : 1.00000       
##          Pos Pred Value : 1.00000       
##          Neg Pred Value : 0.91216       
##              Prevalence : 0.12338       
##          Detection Rate : 0.03896       
##    Detection Prevalence : 0.03896       
##       Balanced Accuracy : 0.65789       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Confusion matrix  S8.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      6     0     0      0       0
##   (0,2]           0     10     7     3      0       0
##   (2,5]           0      3     5     7      8       0
##   (5,10]          0      0     3     7     28       5
##   (10,50]         0      0     0     0     14      48
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6234          
##                  95% CI : (0.5418, 0.7001)
##     No Information Rate : 0.3442          
##     P-Value [Acc > NIR] : 1.536e-12       
##                                           
##                   Kappa : 0.4889          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.31579      0.46667
## Specificity                        1       1.00000      0.90647
## Pos Pred Value                    NA       1.00000      0.35000
## Neg Pred Value                    NA       0.91216      0.94030
## Prevalence                         0       0.12338      0.09740
## Detection Rate                     0       0.03896      0.04545
## Detection Prevalence               0       0.03896      0.12987
## Balanced Accuracy                 NA       0.65789      0.68657
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.41176        0.5600         0.9057
## Specificity               0.88321        0.8558         0.8614
## Pos Pred Value            0.30435        0.6512         0.7742
## Neg Pred Value            0.92366        0.8018         0.9457
## Prevalence                0.11039        0.3247         0.3442
## Detection Rate            0.04545        0.1818         0.3117
## Detection Prevalence      0.14935        0.2792         0.4026
## Balanced Accuracy         0.64749        0.7079         0.8835
## Variable  S9.min_t  MSE: 5.824682  Rsquared:  0.8242227

## Confusion matrix helada/no helada S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      10      2
##    (0,50]       11    131
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8636        
##     P-Value [Acc > NIR] : 0.03322       
##                                         
##                   Kappa : 0.5627        
##  Mcnemar's Test P-Value : 0.02650       
##                                         
##             Sensitivity : 0.47619       
##             Specificity : 0.98496       
##          Pos Pred Value : 0.83333       
##          Neg Pred Value : 0.92254       
##              Prevalence : 0.13636       
##          Detection Rate : 0.06494       
##    Detection Prevalence : 0.07792       
##       Balanced Accuracy : 0.73058       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Confusion matrix  S9.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          1      9     2     0      0       0
##   (0,2]           1      6     7     3      1       0
##   (2,5]           0      3     4     8      7       0
##   (5,10]          0      1     2     6     29       5
##   (10,50]         0      0     0     0     14      45
## 
## Overall Statistics
##                                           
##                Accuracy : 0.6364          
##                  95% CI : (0.5551, 0.7123)
##     No Information Rate : 0.3312          
##     P-Value [Acc > NIR] : 9.71e-15        
##                                           
##                   Kappa : 0.5128          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                  0.00000       0.47368      0.46667
## Specificity                  1.00000       0.97778      0.92086
## Pos Pred Value                   NaN       0.75000      0.38889
## Neg Pred Value               0.98701       0.92958      0.94118
## Prevalence                   0.01299       0.12338      0.09740
## Detection Rate               0.00000       0.05844      0.04545
## Detection Prevalence         0.00000       0.07792      0.11688
## Balanced Accuracy            0.50000       0.72573      0.69376
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.47059        0.5686         0.9000
## Specificity               0.89781        0.8641         0.8654
## Pos Pred Value            0.36364        0.6744         0.7627
## Neg Pred Value            0.93182        0.8018         0.9474
## Prevalence                0.11039        0.3312         0.3247
## Detection Rate            0.05195        0.1883         0.2922
## Detection Prevalence      0.14286        0.2792         0.3831
## Balanced Accuracy         0.68420        0.7164         0.8827

Oversampling: generamos más datos en el training.set mediante SMOTE

Para ello dividimos el dataset entre training y testing. En el training set aplicamos SMOTE.

#genero etiquetas: 1 noche de helada y 0 no helada

Y_class <- as.factor(with(df,ifelse(S20.min_t <= 0,1,0)))
hasta <- round(nrow(df)*.67)
hasta
## [1] 310
summary(Y_class[hasta:length(Y_class)])
##   0   1 
## 135  19
test.set <- df[hasta:nrow(df),]
library(unbalanced)
## Loading required package: mlr
## Loading required package: ParamHelpers
## Warning: replacing previous import 'BBmisc::isFALSE' by
## 'backports::isFALSE' when loading 'mlr'
## 
## Attaching package: 'mlr'
## The following object is masked _by_ '.GlobalEnv':
## 
##     mse
## The following object is masked from 'package:caret':
## 
##     train
## Loading required package: foreach
## Loading required package: doParallel
## Loading required package: iterators
## Loading required package: parallel

datos para entrenar

data_smote <- ubBalance(df[1:hasta,],Y_class[1:hasta],type = "ubSMOTE",percOver = 300, percUnder = 150)

para visualizar la distribución de las clases

summary(data_smote$Y)
##   0   1 
## 193 172
training.set <- data_smote$X

Procedemos a realizar las predicciones y evaluar el error.

Aprendemos una red bayesiana usando el algoritmo hc y pasando como restricciones las white y black lists

start_time <- Sys.time()
print(start_time)
## [1] "2017-10-10 14:16:32 ART"
res = hc(training.set, whitelist=wl,blacklist = bl) # , cluster = cl) # no funciona esta funcion de cluster
end_time <- Sys.time()
end_time - start_time
## Time difference of 1.470029 hours
save(res, file=paste("hc-tminchaar-smote-",Sys.time(),".RData",sep=""))

Aprendizaje de parametros

start_time <- Sys.time()
fitted = bn.fit(res, training.set)     # learning of parameters
end_time <- Sys.time()
end_time - start_time
## Time difference of 0.488565 secs

Mostramos los parámetros para los nodos que nos interesan predecir

fitted[pred_sensores]
## $S10.min_t
## 
##   Parameters of node S10.min_t (Gaussian distribution)
## 
## Conditional density: S10.min_t | S10.max_T_2 + S11.max_T_2 + S12.max_T_2 + S14.max_T_2 + S15.max_T_2 + S16.max_T_2 + S17.max_T_2 + S18.max_T_2 + S20.max_T_2 + S2.max_T_2 + S3.max_T_2 + S5.max_T_2 + S6.max_T_2 + S8.max_T_2 + S10.media_T_2 + S11.media_T_2 + S12.media_T_2 + S13.media_T_2 + S15.media_T_2 + S17.media_T_2 + S18.media_T_2 + S20.media_T_2 + S2.media_T_2 + S3.media_T_2 + S4.media_T_2 + S6.media_T_2 + S7.media_T_2 + S8.media_T_2 + S9.media_T_2 + S10.min_T_2 + S12.min_T_2 + S15.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S1.min_T_2 + S20.min_T_2 + S2.min_T_2 + S3.min_T_2 + S4.min_T_2 + S5.min_T_2 + S7.min_T_2 + S8.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S19.15hs_T_2 + S1.15hs_T_2 + S2.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S8.15hs_T_2 + S9.15hs_T_2 + S10.12hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S14.12hs_T_2 + S15.12hs_T_2 + S16.12hs_T_2 + S17.12hs_T_2 + S1.12hs_T_2 + S20.12hs_T_2 + S2.12hs_T_2 + S3.12hs_T_2 + S5.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S14.18hs_T_2 + S16.18hs_T_2 + S17.18hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S8.18hs_T_2 + S9.18hs_T_2 + Est.humedad_min_T_2 + Est.humedad_med_T_2 + S10.max_T_1 + S11.max_T_1 + S15.max_T_1 + S18.max_T_1 + S19.max_T_1 + S20.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S7.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S13.media_T_1 + S15.media_T_1 + S16.media_T_1 + S18.media_T_1 + S20.media_T_1 + S2.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S10.min_T_1 + S11.min_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S16.min_T_1 + S18.min_T_1 + S19.min_T_1 + S20.min_T_1 + S2.min_T_1 + S3.min_T_1 + S4.min_T_1 + S5.min_T_1 + S6.min_T_1 + S7.min_T_1 + S8.min_T_1 + S9.min_T_1 + S10.15hs_T_1 + S12.15hs_T_1 + S13.15hs_T_1 + S14.15hs_T_1 + S17.15hs_T_1 + S19.15hs_T_1 + S1.15hs_T_1 + S20.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S8.15hs_T_1 + S9.15hs_T_1 + S10.12hs_T_1 + S13.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S16.12hs_T_1 + S17.12hs_T_1 + S19.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S2.12hs_T_1 + S3.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S10.18hs_T_1 + S11.18hs_T_1 + S12.18hs_T_1 + S13.18hs_T_1 + S14.18hs_T_1 + S15.18hs_T_1 + S16.18hs_T_1 + S17.18hs_T_1 + S18.18hs_T_1 + S19.18hs_T_1 + S1.18hs_T_1 + S2.18hs_T_1 + S3.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + Est.temp_min_T_1 + Est.temp_max_T_1 + Est.temp_med_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##       -5.845298e+00        -3.302219e-01        -9.610543e-03  
##         S12.max_T_2          S14.max_T_2          S15.max_T_2  
##        1.096586e+00         1.122881e+00        -1.206700e+00  
##         S16.max_T_2          S17.max_T_2          S18.max_T_2  
##        2.673962e-01         2.800254e+00        -8.323331e-02  
##         S20.max_T_2           S2.max_T_2           S3.max_T_2  
##        2.383455e+00        -7.748601e-01        -2.042700e+00  
##          S5.max_T_2           S6.max_T_2           S8.max_T_2  
##       -2.772505e+00        -1.113023e+00         1.639107e-01  
##       S10.media_T_2        S11.media_T_2        S12.media_T_2  
##       -5.107192e+00         2.243017e-01         1.796721e+00  
##       S13.media_T_2        S15.media_T_2        S17.media_T_2  
##        1.268966e-01        -5.343294e+00        -5.469976e+00  
##       S18.media_T_2        S20.media_T_2         S2.media_T_2  
##       -4.875785e+00         9.718330e+00        -5.648851e+00  
##        S3.media_T_2         S4.media_T_2         S6.media_T_2  
##       -1.032096e+00         9.890294e+00        -4.058260e+00  
##        S7.media_T_2         S8.media_T_2         S9.media_T_2  
##        9.249380e+00         4.216950e-01         1.065825e+00  
##         S10.min_T_2          S12.min_T_2          S15.min_T_2  
##        6.288777e-01         7.090183e-01        -1.707065e+00  
##         S16.min_T_2          S17.min_T_2          S18.min_T_2  
##       -5.321426e-01         1.800761e-01         8.114053e-01  
##          S1.min_T_2          S20.min_T_2           S2.min_T_2  
##        7.488573e-01        -1.303477e+00        -1.165197e+00  
##          S3.min_T_2           S4.min_T_2           S5.min_T_2  
##        1.326384e+00         5.292843e-01        -2.263406e-01  
##          S7.min_T_2           S8.min_T_2           S9.min_T_2  
##        1.751567e+00        -1.714401e-01        -1.955071e+00  
##        S10.15hs_T_2         S12.15hs_T_2         S13.15hs_T_2  
##        1.754669e+00        -1.874793e+00         3.705275e+00  
##        S16.15hs_T_2         S17.15hs_T_2         S18.15hs_T_2  
##        1.327204e+00        -4.052472e+00         2.915173e+00  
##        S19.15hs_T_2          S1.15hs_T_2          S2.15hs_T_2  
##       -4.434219e-01         2.121271e-04         1.967080e+00  
##         S4.15hs_T_2          S5.15hs_T_2          S8.15hs_T_2  
##       -2.483209e-01        -2.616027e-01        -2.394738e+00  
##         S9.15hs_T_2         S10.12hs_T_2         S11.12hs_T_2  
##       -2.185963e+00        -1.170769e+00        -1.162709e+00  
##        S12.12hs_T_2         S14.12hs_T_2         S15.12hs_T_2  
##       -4.019067e+00        -1.430467e+00         2.992758e+00  
##        S16.12hs_T_2         S17.12hs_T_2          S1.12hs_T_2  
##        6.018859e-02         2.892387e-02         1.021939e-03  
##        S20.12hs_T_2          S2.12hs_T_2          S3.12hs_T_2  
##       -1.665547e-01         2.281066e+00        -1.179036e+00  
##         S5.12hs_T_2          S9.12hs_T_2         S10.18hs_T_2  
##        1.899514e+00         1.772609e+00        -2.257490e+00  
##        S11.18hs_T_2         S14.18hs_T_2         S16.18hs_T_2  
##        1.722703e-01         2.847069e+00        -4.668832e-01  
##        S17.18hs_T_2         S18.18hs_T_2          S1.18hs_T_2  
##        5.331436e+00        -2.214939e+00        -1.635838e+00  
##         S2.18hs_T_2          S3.18hs_T_2          S4.18hs_T_2  
##        3.916334e-03        -4.211911e+00        -9.546367e-01  
##         S6.18hs_T_2          S7.18hs_T_2          S8.18hs_T_2  
##        1.517802e+00         2.205145e+00        -1.381755e+00  
##         S9.18hs_T_2  Est.humedad_min_T_2  Est.humedad_med_T_2  
##        6.728067e-01        -6.913002e-01         6.974798e-01  
##         S10.max_T_1          S11.max_T_1          S15.max_T_1  
##        7.097960e-02         8.901099e-01        -8.767834e-01  
##         S18.max_T_1          S19.max_T_1          S20.max_T_1  
##        7.310435e-01        -1.064140e+00        -7.684644e-01  
##          S2.max_T_1           S3.max_T_1           S4.max_T_1  
##        1.307035e+00        -6.394689e-01         1.744013e+00  
##          S7.max_T_1           S8.max_T_1           S9.max_T_1  
##       -2.040208e+00         4.155467e-01         2.767618e-02  
##       S10.media_T_1        S13.media_T_1        S15.media_T_1  
##        2.135059e+00        -1.911681e+00         7.548776e+00  
##       S16.media_T_1        S18.media_T_1        S20.media_T_1  
##       -5.922036e-01        -8.149592e-01        -1.197683e+01  
##        S2.media_T_1         S3.media_T_1         S4.media_T_1  
##       -1.153338e+00         7.067426e+00         1.290660e+00  
##        S5.media_T_1         S6.media_T_1         S7.media_T_1  
##       -1.266032e+01         1.042802e+01        -9.616918e+00  
##        S8.media_T_1          S10.min_T_1          S11.min_T_1  
##        1.094249e+01         4.975521e-01         1.377920e+00  
##         S12.min_T_1          S13.min_T_1          S14.min_T_1  
##        1.673923e+00        -2.768251e-01        -1.158382e+00  
##         S16.min_T_1          S18.min_T_1          S19.min_T_1  
##       -2.343701e-01         9.048998e-01        -1.450892e+00  
##         S20.min_T_1           S2.min_T_1           S3.min_T_1  
##       -1.848708e+00        -2.794960e-02         9.229408e-01  
##          S4.min_T_1           S5.min_T_1           S6.min_T_1  
##       -7.203847e-01        -1.447147e+00         1.545076e-01  
##          S7.min_T_1           S8.min_T_1           S9.min_T_1  
##        1.395041e+00         6.205984e-01        -3.164917e-01  
##        S10.15hs_T_1         S12.15hs_T_1         S13.15hs_T_1  
##       -1.201957e+00         6.226618e-01        -1.291515e+00  
##        S14.15hs_T_1         S17.15hs_T_1         S19.15hs_T_1  
##        5.456820e-02        -1.016139e+00         2.533176e+00  
##         S1.15hs_T_1         S20.15hs_T_1          S3.15hs_T_1  
##        2.255554e+00         2.814257e+00        -2.560966e-01  
##         S4.15hs_T_1          S8.15hs_T_1          S9.15hs_T_1  
##       -2.122764e+00        -1.710330e+00        -3.575930e-01  
##        S10.12hs_T_1         S13.12hs_T_1         S14.12hs_T_1  
##        9.598556e-01        -7.810482e-01        -3.383353e-01  
##        S15.12hs_T_1         S16.12hs_T_1         S17.12hs_T_1  
##       -2.385824e+00         2.217533e-01        -9.434283e-01  
##        S19.12hs_T_1          S1.12hs_T_1         S20.12hs_T_1  
##        1.690749e+00        -1.582805e+00        -1.852633e-01  
##         S2.12hs_T_1          S3.12hs_T_1          S4.12hs_T_1  
##        4.133072e-01         3.924911e-02         3.880601e-01  
##         S5.12hs_T_1          S6.12hs_T_1          S7.12hs_T_1  
##        8.863513e-01        -1.072475e+00         3.126313e+00  
##         S8.12hs_T_1          S9.12hs_T_1         S10.18hs_T_1  
##       -3.486113e-01         7.525553e-02        -3.456275e+00  
##        S11.18hs_T_1         S12.18hs_T_1         S13.18hs_T_1  
##        2.087210e-01         7.757468e-01         5.481253e+00  
##        S14.18hs_T_1         S15.18hs_T_1         S16.18hs_T_1  
##       -1.513887e+00        -5.691082e-01        -6.034730e-01  
##        S17.18hs_T_1         S18.18hs_T_1         S19.18hs_T_1  
##       -1.777185e+00         5.213976e-01         9.920481e-01  
##         S1.18hs_T_1          S2.18hs_T_1          S3.18hs_T_1  
##        8.461088e-02         1.403883e+00         2.367659e+00  
##         S5.18hs_T_1          S6.18hs_T_1          S7.18hs_T_1  
##       -1.260644e+00        -1.303443e+00        -1.167553e+00  
##    Est.temp_min_T_1     Est.temp_max_T_1     Est.temp_med_T_1  
##       -2.497383e+00        -3.180808e+00         5.735068e+00  
## Standard deviation of the residuals: 4.3459e-08 
## 
## $S11.min_t
## 
##   Parameters of node S11.min_t (Gaussian distribution)
## 
## Conditional density: S11.min_t | S10.max_T_2 + S11.max_T_2 + S12.max_T_2 + S13.max_T_2 + S14.max_T_2 + S16.max_T_2 + S17.max_T_2 + S18.max_T_2 + S19.max_T_2 + S20.max_T_2 + S2.max_T_2 + S5.max_T_2 + S6.max_T_2 + S7.max_T_2 + S9.max_T_2 + S10.media_T_2 + S11.media_T_2 + S12.media_T_2 + S14.media_T_2 + S17.media_T_2 + S18.media_T_2 + S19.media_T_2 + S3.media_T_2 + S4.media_T_2 + S5.media_T_2 + S6.media_T_2 + S7.media_T_2 + S10.min_T_2 + S11.min_T_2 + S12.min_T_2 + S13.min_T_2 + S14.min_T_2 + S15.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S1.min_T_2 + S20.min_T_2 + S2.min_T_2 + S4.min_T_2 + S6.min_T_2 + S7.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S11.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S16.15hs_T_2 + S18.15hs_T_2 + S19.15hs_T_2 + S1.15hs_T_2 + S3.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S7.15hs_T_2 + S9.15hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S14.12hs_T_2 + S18.12hs_T_2 + S19.12hs_T_2 + S1.12hs_T_2 + S2.12hs_T_2 + S3.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S12.18hs_T_2 + S13.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S17.18hs_T_2 + S18.18hs_T_2 + S19.18hs_T_2 + S1.18hs_T_2 + S4.18hs_T_2 + S5.18hs_T_2 + S8.18hs_T_2 + S10.max_T_1 + S11.max_T_1 + S12.max_T_1 + S14.max_T_1 + S15.max_T_1 + S17.max_T_1 + S18.max_T_1 + S19.max_T_1 + S1.max_T_1 + S20.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S5.max_T_1 + S6.max_T_1 + S7.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S11.media_T_1 + S12.media_T_1 + S14.media_T_1 + S16.media_T_1 + S17.media_T_1 + S18.media_T_1 + S1.media_T_1 + S20.media_T_1 + S2.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S10.min_T_1 + S11.min_T_1 + S12.min_T_1 + S13.min_T_1 + S15.min_T_1 + S16.min_T_1 + S18.min_T_1 + S19.min_T_1 + S1.min_T_1 + S20.min_T_1 + S2.min_T_1 + S3.min_T_1 + S4.min_T_1 + S6.min_T_1 + S7.min_T_1 + S8.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S12.15hs_T_1 + S13.15hs_T_1 + S14.15hs_T_1 + S16.15hs_T_1 + S18.15hs_T_1 + S19.15hs_T_1 + S1.15hs_T_1 + S2.15hs_T_1 + S4.15hs_T_1 + S6.15hs_T_1 + S11.12hs_T_1 + S12.12hs_T_1 + S14.12hs_T_1 + S16.12hs_T_1 + S17.12hs_T_1 + S18.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S2.12hs_T_1 + S3.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S11.18hs_T_1 + S12.18hs_T_1 + S13.18hs_T_1 + S14.18hs_T_1 + S16.18hs_T_1 + S18.18hs_T_1 + S19.18hs_T_1 + S1.18hs_T_1 + S20.18hs_T_1 + S4.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + Est.humedad_med_T_1 + Est.humedad_max_T_1 + Est.temp_min_T_1 + Est.temp_max_T_1 + Est.temp_med_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##       -1.738243e+00        -1.014839e+00         7.342805e-01  
##         S12.max_T_2          S13.max_T_2          S14.max_T_2  
##       -8.711034e-01         1.817346e+00         1.313515e+00  
##         S16.max_T_2          S17.max_T_2          S18.max_T_2  
##        3.200733e-01        -5.512874e-02         4.355152e-01  
##         S19.max_T_2          S20.max_T_2           S2.max_T_2  
##       -2.314816e+00         2.002884e+00        -2.479080e+00  
##          S5.max_T_2           S6.max_T_2           S7.max_T_2  
##       -4.025652e-01        -4.621811e-01         9.520627e-01  
##          S9.max_T_2        S10.media_T_2        S11.media_T_2  
##       -1.728177e-03         1.563723e-01        -4.305042e+00  
##       S12.media_T_2        S14.media_T_2        S17.media_T_2  
##       -5.568409e+00        -7.820218e+00        -7.825721e+00  
##       S18.media_T_2        S19.media_T_2         S3.media_T_2  
##       -5.190435e+00         1.276847e+00        -2.139004e+00  
##        S4.media_T_2         S5.media_T_2         S6.media_T_2  
##        8.533891e+00         7.062795e+00        -1.750561e+00  
##        S7.media_T_2          S10.min_T_2          S11.min_T_2  
##        1.700576e+01         6.019373e+00        -2.024098e-01  
##         S12.min_T_2          S13.min_T_2          S14.min_T_2  
##        5.855287e-01         1.591139e+00        -2.142539e+00  
##         S15.min_T_2          S16.min_T_2          S17.min_T_2  
##       -1.107563e+00        -1.627378e+00         1.337846e+00  
##         S18.min_T_2           S1.min_T_2          S20.min_T_2  
##        6.573454e-01        -1.135246e+00         3.489768e+00  
##          S2.min_T_2           S4.min_T_2           S6.min_T_2  
##        8.646560e-02         4.770807e-01        -1.159013e+00  
##          S7.min_T_2           S9.min_T_2         S10.15hs_T_2  
##       -2.268547e-01        -6.231948e+00        -9.173056e-01  
##        S11.15hs_T_2         S12.15hs_T_2         S13.15hs_T_2  
##        6.550950e-01        -1.313716e-01         1.230692e+00  
##        S16.15hs_T_2         S18.15hs_T_2         S19.15hs_T_2  
##        1.040678e-02         2.775345e+00         4.035661e-01  
##         S1.15hs_T_2          S3.15hs_T_2          S4.15hs_T_2  
##       -2.516585e-01         5.988371e-01        -5.733796e-01  
##         S5.15hs_T_2          S7.15hs_T_2          S9.15hs_T_2  
##       -1.304159e+00        -4.836894e-01        -1.691814e+00  
##        S11.12hs_T_2         S12.12hs_T_2         S14.12hs_T_2  
##       -1.055898e-01        -7.459898e-01         1.889662e+00  
##        S18.12hs_T_2         S19.12hs_T_2          S1.12hs_T_2  
##       -1.028987e+00        -1.272194e+00         1.870170e-02  
##         S2.12hs_T_2          S3.12hs_T_2          S7.12hs_T_2  
##        1.462965e+00        -1.226063e+00         2.948588e-02  
##         S8.12hs_T_2          S9.12hs_T_2         S10.18hs_T_2  
##       -1.075400e+00         1.652402e+00        -1.633713e+00  
##        S11.18hs_T_2         S12.18hs_T_2         S13.18hs_T_2  
##       -3.920731e+00         2.821327e-01         1.868319e+00  
##        S14.18hs_T_2         S15.18hs_T_2         S17.18hs_T_2  
##        2.047133e+00         8.604182e-02         2.980362e+00  
##        S18.18hs_T_2         S19.18hs_T_2          S1.18hs_T_2  
##       -3.513452e-02         1.572899e+00        -2.350037e+00  
##         S4.18hs_T_2          S5.18hs_T_2          S8.18hs_T_2  
##       -2.175785e-01        -1.242167e+00         4.812803e-01  
##         S10.max_T_1          S11.max_T_1          S12.max_T_1  
##       -7.228915e-02         2.759456e+00        -7.874749e-01  
##         S14.max_T_1          S15.max_T_1          S17.max_T_1  
##        3.334794e-01        -1.611198e-05        -7.655027e-01  
##         S18.max_T_1          S19.max_T_1           S1.max_T_1  
##       -5.437183e-01        -1.294027e+00        -9.016387e-01  
##         S20.max_T_1           S2.max_T_1           S3.max_T_1  
##       -8.738116e-01         2.968239e+00        -1.579269e-01  
##          S4.max_T_1           S5.max_T_1           S6.max_T_1  
##        1.107767e+00         8.654348e-01        -5.827437e-01  
##          S7.max_T_1           S8.max_T_1           S9.max_T_1  
##       -8.166805e-01        -1.015095e-01        -1.130616e+00  
##       S10.media_T_1        S11.media_T_1        S12.media_T_1  
##        3.425700e+00         6.904955e+00         2.325948e+00  
##       S14.media_T_1        S16.media_T_1        S17.media_T_1  
##       -1.121338e+01         9.739560e+00        -7.453715e+00  
##       S18.media_T_1         S1.media_T_1        S20.media_T_1  
##        7.589217e+00         1.080365e+01        -1.160990e+01  
##        S2.media_T_1         S3.media_T_1         S4.media_T_1  
##        7.408546e-01         3.123322e+00         9.140125e+00  
##        S5.media_T_1         S6.media_T_1         S7.media_T_1  
##       -2.176619e+01         5.670674e+00        -1.519522e+01  
##        S8.media_T_1         S9.media_T_1          S10.min_T_1  
##        9.925619e+00        -8.647167e-02         2.563181e+00  
##         S11.min_T_1          S12.min_T_1          S13.min_T_1  
##        1.975260e+00         5.312512e+00        -6.591779e-01  
##         S15.min_T_1          S16.min_T_1          S18.min_T_1  
##        4.706621e-01        -5.593488e+00         1.009124e+00  
##         S19.min_T_1           S1.min_T_1          S20.min_T_1  
##        6.904300e-01        -1.446005e+00         1.399629e-01  
##          S2.min_T_1           S3.min_T_1           S4.min_T_1  
##        2.415946e-02         9.127390e-01        -3.415675e+00  
##          S6.min_T_1           S7.min_T_1           S8.min_T_1  
##        1.948995e-01        -5.752475e-01        -1.735761e+00  
##        S10.15hs_T_1         S11.15hs_T_1         S12.15hs_T_1  
##        5.854199e-01        -2.048761e+00         1.644569e+00  
##        S13.15hs_T_1         S14.15hs_T_1         S16.15hs_T_1  
##       -1.801642e+00         1.462902e+00        -2.573364e-01  
##        S18.15hs_T_1         S19.15hs_T_1          S1.15hs_T_1  
##       -2.794149e-01         1.358609e-01         7.249650e-02  
##         S2.15hs_T_1          S4.15hs_T_1          S6.15hs_T_1  
##        3.207217e-01         6.277647e-02         2.310754e-01  
##        S11.12hs_T_1         S12.12hs_T_1         S14.12hs_T_1  
##       -1.064246e+00        -1.970748e-01         6.506463e-01  
##        S16.12hs_T_1         S17.12hs_T_1         S18.12hs_T_1  
##        2.976612e-02         1.753002e-01        -2.113678e+00  
##         S1.12hs_T_1         S20.12hs_T_1          S2.12hs_T_1  
##       -1.870365e+00        -1.296400e+00         7.817214e-01  
##         S3.12hs_T_1          S4.12hs_T_1          S5.12hs_T_1  
##        2.517279e+00        -5.544944e-01         1.676176e+00  
##         S6.12hs_T_1          S7.12hs_T_1          S8.12hs_T_1  
##       -1.631292e+00         3.148447e+00        -7.015881e-01  
##        S11.18hs_T_1         S12.18hs_T_1         S13.18hs_T_1  
##       -3.213980e-01        -1.437926e+00         2.365534e+00  
##        S14.18hs_T_1         S16.18hs_T_1         S18.18hs_T_1  
##        7.874787e-03        -4.430287e-01         3.191751e-01  
##        S19.18hs_T_1          S1.18hs_T_1         S20.18hs_T_1  
##        2.543483e-02        -4.492501e-01         1.755125e+00  
##         S4.18hs_T_1          S6.18hs_T_1          S7.18hs_T_1  
##       -1.791635e+00        -4.978840e-01        -9.925418e-01  
##         S8.18hs_T_1  Est.humedad_med_T_1  Est.humedad_max_T_1  
##        1.171251e+00         5.439482e-01        -5.768082e-01  
##    Est.temp_min_T_1     Est.temp_max_T_1     Est.temp_med_T_1  
##        5.165432e+00         6.402256e+00        -1.134336e+01  
## Standard deviation of the residuals: 5.859015e-08 
## 
## $S12.min_t
## 
##   Parameters of node S12.min_t (Gaussian distribution)
## 
## Conditional density: S12.min_t | S11.max_T_2 + S12.max_T_2 + S16.max_T_2 + S19.max_T_2 + S8.max_T_2 + S12.media_T_2 + S15.media_T_2 + S20.media_T_2 + S3.media_T_2 + S4.media_T_2 + S6.media_T_2 + S10.min_T_2 + S12.min_T_2 + S16.min_T_2 + S9.min_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S17.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S12.12hs_T_2 + S5.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S12.18hs_T_2 + S14.18hs_T_2 + S17.18hs_T_2 + S1.18hs_T_2 + S4.18hs_T_2 + S7.18hs_T_2 + Est.temp_min_T_2 + S12.max_T_1 + S14.max_T_1 + S17.max_T_1 + S1.max_T_1 + S2.max_T_1 + S3.max_T_1 + S9.max_T_1 + S12.media_T_1 + S20.media_T_1 + S5.media_T_1 + S6.media_T_1 + S8.media_T_1 + S12.min_T_1 + S14.min_T_1 + S17.min_T_1 + S18.min_T_1 + S20.min_T_1 + S6.min_T_1 + S8.min_T_1 + S12.15hs_T_1 + S1.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S12.12hs_T_1 + S16.12hs_T_1 + S18.12hs_T_1 + S4.12hs_T_1 + S6.12hs_T_1 + S12.18hs_T_1 + S3.18hs_T_1 + S4.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2          S12.max_T_2  
##         -9.18150442          -1.15467113           0.05485633  
##         S16.max_T_2          S19.max_T_2           S8.max_T_2  
##          0.33177082           0.28527642           0.49808231  
##       S12.media_T_2        S15.media_T_2        S20.media_T_2  
##         -3.90356340          -2.12867226           4.48309416  
##        S3.media_T_2         S4.media_T_2         S6.media_T_2  
##         -3.28908466           2.47472295           2.35624610  
##         S10.min_T_2          S12.min_T_2          S16.min_T_2  
##          1.10301851           1.74615219          -1.51313603  
##          S9.min_T_2         S12.15hs_T_2         S13.15hs_T_2  
##         -1.23900300           0.32837924           1.65627917  
##        S17.15hs_T_2          S5.15hs_T_2          S6.15hs_T_2  
##         -1.42318435          -1.73674531           1.26190499  
##        S12.12hs_T_2          S5.12hs_T_2          S9.12hs_T_2  
##         -1.35653646           0.58986811           0.55622292  
##        S10.18hs_T_2         S12.18hs_T_2         S14.18hs_T_2  
##         -3.26508654           0.93664249           2.54147391  
##        S17.18hs_T_2          S1.18hs_T_2          S4.18hs_T_2  
##          1.24967644          -1.13697260          -0.75351513  
##         S7.18hs_T_2     Est.temp_min_T_2          S12.max_T_1  
##          0.55644770           0.15076064           0.62265238  
##         S14.max_T_1          S17.max_T_1           S1.max_T_1  
##          0.94789044          -1.51890875          -0.58247046  
##          S2.max_T_1           S3.max_T_1           S9.max_T_1  
##          1.80088504          -0.77014161          -0.90077286  
##       S12.media_T_1        S20.media_T_1         S5.media_T_1  
##         -2.52617824          -1.75180436          -3.34002604  
##        S6.media_T_1         S8.media_T_1          S12.min_T_1  
##          4.26914448           3.62811746           3.08581304  
##         S14.min_T_1          S17.min_T_1          S18.min_T_1  
##         -1.65383872          -0.67334210           0.98403181  
##         S20.min_T_1           S6.min_T_1           S8.min_T_1  
##         -0.82528896           2.04284743          -2.71578841  
##        S12.15hs_T_1          S1.15hs_T_1          S2.15hs_T_1  
##         -1.40837595           2.12392864          -1.90512105  
##         S3.15hs_T_1         S12.12hs_T_1         S16.12hs_T_1  
##          1.57088001           0.38819188          -0.64558354  
##        S18.12hs_T_1          S4.12hs_T_1          S6.12hs_T_1  
##          0.55810595           1.25913728          -1.39643571  
##        S12.18hs_T_1          S3.18hs_T_1          S4.18hs_T_1  
##          1.47413314          -0.97169918          -0.47546478  
## Est.humedad_min_T_1  
##          0.05166132  
## Standard deviation of the residuals: 0.9003216 
## 
## $S13.min_t
## 
##   Parameters of node S13.min_t (Gaussian distribution)
## 
## Conditional density: S13.min_t | S10.max_T_2 + S11.max_T_2 + S12.max_T_2 + S13.max_T_2 + S14.max_T_2 + S15.max_T_2 + S17.max_T_2 + S18.max_T_2 + S20.max_T_2 + S2.max_T_2 + S5.max_T_2 + S8.max_T_2 + S9.max_T_2 + S10.media_T_2 + S11.media_T_2 + S12.media_T_2 + S13.media_T_2 + S14.media_T_2 + S15.media_T_2 + S17.media_T_2 + S18.media_T_2 + S19.media_T_2 + S1.media_T_2 + S3.media_T_2 + S6.media_T_2 + S7.media_T_2 + S9.media_T_2 + S10.min_T_2 + S11.min_T_2 + S12.min_T_2 + S13.min_T_2 + S14.min_T_2 + S15.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S19.min_T_2 + S20.min_T_2 + S4.min_T_2 + S8.min_T_2 + S9.min_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S19.15hs_T_2 + S20.15hs_T_2 + S2.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S7.15hs_T_2 + S8.15hs_T_2 + S9.15hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S13.12hs_T_2 + S15.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S19.12hs_T_2 + S3.12hs_T_2 + S4.12hs_T_2 + S5.12hs_T_2 + S6.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S12.18hs_T_2 + S13.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S17.18hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + S20.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S9.18hs_T_2 + Est.humedad_min_T_2 + Est.humedad_max_T_2 + S10.max_T_1 + S13.max_T_1 + S14.max_T_1 + S15.max_T_1 + S17.max_T_1 + S19.max_T_1 + S1.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S5.max_T_1 + S6.max_T_1 + S8.max_T_1 + S10.media_T_1 + S12.media_T_1 + S13.media_T_1 + S16.media_T_1 + S17.media_T_1 + S18.media_T_1 + S19.media_T_1 + S1.media_T_1 + S20.media_T_1 + S2.media_T_1 + S3.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S11.min_T_1 + S12.min_T_1 + S13.min_T_1 + S16.min_T_1 + S17.min_T_1 + S18.min_T_1 + S19.min_T_1 + S1.min_T_1 + S2.min_T_1 + S3.min_T_1 + S4.min_T_1 + S6.min_T_1 + S7.min_T_1 + S9.min_T_1 + S10.15hs_T_1 + S13.15hs_T_1 + S14.15hs_T_1 + S16.15hs_T_1 + S17.15hs_T_1 + S18.15hs_T_1 + S19.15hs_T_1 + S20.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S5.15hs_T_1 + S6.15hs_T_1 + S7.15hs_T_1 + S9.15hs_T_1 + S10.12hs_T_1 + S11.12hs_T_1 + S12.12hs_T_1 + S13.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S16.12hs_T_1 + S17.12hs_T_1 + S1.12hs_T_1 + S2.12hs_T_1 + S4.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S10.18hs_T_1 + S11.18hs_T_1 + S12.18hs_T_1 + S13.18hs_T_1 + S14.18hs_T_1 + S15.18hs_T_1 + S17.18hs_T_1 + S18.18hs_T_1 + S1.18hs_T_1 + S2.18hs_T_1 + S3.18hs_T_1 + S4.18hs_T_1 + S5.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + S9.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##        -3.626539582         -0.084718257         -0.393354853  
##         S12.max_T_2          S13.max_T_2          S14.max_T_2  
##        -0.892432870          1.129267532          0.989821172  
##         S15.max_T_2          S17.max_T_2          S18.max_T_2  
##        -0.143010424         -0.236339715         -0.280754460  
##         S20.max_T_2           S2.max_T_2           S5.max_T_2  
##         0.326524268         -2.256554377          0.311457139  
##          S8.max_T_2           S9.max_T_2        S10.media_T_2  
##         0.805654911          0.598945378         -3.580799816  
##       S11.media_T_2        S12.media_T_2        S13.media_T_2  
##         0.299856858          3.440992541         -1.404133091  
##       S14.media_T_2        S15.media_T_2        S17.media_T_2  
##         0.001027008          0.166634654         -9.698886785  
##       S18.media_T_2        S19.media_T_2         S1.media_T_2  
##         1.929581760         -8.494521637          5.061406170  
##        S3.media_T_2         S6.media_T_2         S7.media_T_2  
##        -0.334665275         -0.146286285         14.405704077  
##        S9.media_T_2          S10.min_T_2          S11.min_T_2  
##        -1.853748793          0.326956023          1.436842197  
##         S12.min_T_2          S13.min_T_2          S14.min_T_2  
##         1.756537934         -1.073623742         -0.897526125  
##         S15.min_T_2          S16.min_T_2          S17.min_T_2  
##         0.811389854          0.561762799          1.746360095  
##         S18.min_T_2          S19.min_T_2          S20.min_T_2  
##        -1.261204849         -0.003864289         -0.131064011  
##          S4.min_T_2           S8.min_T_2           S9.min_T_2  
##         1.883919470         -1.022107399         -3.682933082  
##        S12.15hs_T_2         S13.15hs_T_2         S14.15hs_T_2  
##        -4.426256187          4.891553991         -3.108707570  
##        S16.15hs_T_2         S17.15hs_T_2         S18.15hs_T_2  
##         0.563659096         -1.056266804          3.347626316  
##        S19.15hs_T_2         S20.15hs_T_2          S2.15hs_T_2  
##         0.920763344         -0.406352176          2.791383537  
##         S4.15hs_T_2          S5.15hs_T_2          S7.15hs_T_2  
##         1.166667562         -2.397483395         -0.032811932  
##         S8.15hs_T_2          S9.15hs_T_2         S11.12hs_T_2  
##        -2.059035151          0.148400087         -0.375888156  
##        S12.12hs_T_2         S13.12hs_T_2         S15.12hs_T_2  
##        -0.277138266         -3.375287337          0.442353675  
##        S17.12hs_T_2         S18.12hs_T_2         S19.12hs_T_2  
##         0.715033425          0.431378642          1.389758446  
##         S3.12hs_T_2          S4.12hs_T_2          S5.12hs_T_2  
##        -0.462460185          0.738574751          1.391521235  
##         S6.12hs_T_2          S7.12hs_T_2          S8.12hs_T_2  
##        -0.582105528         -1.316941087          1.282314919  
##         S9.12hs_T_2         S10.18hs_T_2         S11.18hs_T_2  
##        -0.226529231         -0.497194576         -2.105109227  
##        S12.18hs_T_2         S13.18hs_T_2         S14.18hs_T_2  
##         1.600745824         -0.800706916          3.233771890  
##        S15.18hs_T_2         S17.18hs_T_2         S18.18hs_T_2  
##         3.746183134          0.353544868         -2.114318026  
##         S1.18hs_T_2         S20.18hs_T_2          S2.18hs_T_2  
##        -3.781865599          2.537691957          1.790912547  
##         S3.18hs_T_2          S4.18hs_T_2          S5.18hs_T_2  
##        -2.583980091         -2.461958810         -1.116600941  
##         S6.18hs_T_2          S9.18hs_T_2  Est.humedad_min_T_2  
##         1.480190491          0.659919841         -0.194474964  
## Est.humedad_max_T_2          S10.max_T_1          S13.max_T_1  
##         0.224834125         -0.849794410          0.515546849  
##         S14.max_T_1          S15.max_T_1          S17.max_T_1  
##         0.381358558         -0.781008753         -1.060178764  
##         S19.max_T_1           S1.max_T_1           S2.max_T_1  
##        -1.038058222         -1.381626418          1.479041369  
##          S3.max_T_1           S4.max_T_1           S5.max_T_1  
##         0.663553037          0.722143576         -0.310318032  
##          S6.max_T_1           S8.max_T_1        S10.media_T_1  
##        -2.184702713          3.359139816          0.621970637  
##       S12.media_T_1        S13.media_T_1        S16.media_T_1  
##         0.227646106          4.316376224          2.737089415  
##       S17.media_T_1        S18.media_T_1        S19.media_T_1  
##        -1.969932845          1.825025200          4.053213223  
##        S1.media_T_1        S20.media_T_1         S2.media_T_1  
##         5.888756290         -9.412133425          0.450617559  
##        S3.media_T_1         S5.media_T_1         S6.media_T_1  
##        -3.034416435          0.520328050          3.693436454  
##        S7.media_T_1         S8.media_T_1         S9.media_T_1  
##        -6.867662814          0.541109208         -3.073860141  
##         S11.min_T_1          S12.min_T_1          S13.min_T_1  
##         1.705896461          5.920594096          0.337305929  
##         S16.min_T_1          S17.min_T_1          S18.min_T_1  
##        -5.148743815         -0.424924474          0.118551995  
##         S19.min_T_1           S1.min_T_1           S2.min_T_1  
##        -1.089914006          2.258639983         -0.970302872  
##          S3.min_T_1           S4.min_T_1           S6.min_T_1  
##         1.390177667         -2.889110766         -0.659257493  
##          S7.min_T_1           S9.min_T_1         S10.15hs_T_1  
##         0.001554127         -0.320166389         -3.383032052  
##        S13.15hs_T_1         S14.15hs_T_1         S16.15hs_T_1  
##        -2.082640929         -0.049288878         -1.453692530  
##        S17.15hs_T_1         S18.15hs_T_1         S19.15hs_T_1  
##         0.092877390          2.091857820         -0.274256584  
##        S20.15hs_T_1          S2.15hs_T_1          S3.15hs_T_1  
##         1.557460920         -0.755598013          1.753734685  
##         S5.15hs_T_1          S6.15hs_T_1          S7.15hs_T_1  
##        -0.358079086          1.191200601          0.930864609  
##         S9.15hs_T_1         S10.12hs_T_1         S11.12hs_T_1  
##         1.657639255          0.989515920         -0.519699292  
##        S12.12hs_T_1         S13.12hs_T_1         S14.12hs_T_1  
##        -1.184202854         -0.971333619          0.769072515  
##        S15.12hs_T_1         S16.12hs_T_1         S17.12hs_T_1  
##        -0.014009255         -0.105884707         -1.592621317  
##         S1.12hs_T_1          S2.12hs_T_1          S4.12hs_T_1  
##         0.657349860         -1.423662683          0.673829577  
##         S6.12hs_T_1          S7.12hs_T_1          S8.12hs_T_1  
##        -1.313903070          3.845082200         -0.265517020  
##         S9.12hs_T_1         S10.18hs_T_1         S11.18hs_T_1  
##         0.325911696         -0.041734860          0.479982601  
##        S12.18hs_T_1         S13.18hs_T_1         S14.18hs_T_1  
##         3.668690399          0.492213340         -1.521490816  
##        S15.18hs_T_1         S17.18hs_T_1         S18.18hs_T_1  
##         2.124519692         -3.065337037          1.974137435  
##         S1.18hs_T_1          S2.18hs_T_1          S3.18hs_T_1  
##        -0.755710934         -0.489717917         -0.535099907  
##         S4.18hs_T_1          S5.18hs_T_1          S7.18hs_T_1  
##         1.429296254         -3.156658442         -1.338883636  
##         S8.18hs_T_1          S9.18hs_T_1  Est.humedad_min_T_1  
##        -0.086183388          0.367752418          0.022393919  
## Standard deviation of the residuals: 1.205142e-07 
## 
## $S14.min_t
## 
##   Parameters of node S14.min_t (Gaussian distribution)
## 
## Conditional density: S14.min_t | S10.max_T_2 + S11.max_T_2 + S14.max_T_2 + S16.max_T_2 + S20.max_T_2 + S2.max_T_2 + S5.max_T_2 + S9.max_T_2 + S13.media_T_2 + S14.media_T_2 + S4.media_T_2 + S6.media_T_2 + S12.min_T_2 + S14.min_T_2 + S16.min_T_2 + S20.min_T_2 + S2.min_T_2 + S9.min_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S17.15hs_T_2 + S19.15hs_T_2 + S20.15hs_T_2 + S2.15hs_T_2 + S3.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S9.15hs_T_2 + S10.12hs_T_2 + S14.12hs_T_2 + S5.12hs_T_2 + S8.12hs_T_2 + S10.18hs_T_2 + S14.18hs_T_2 + S17.18hs_T_2 + S3.18hs_T_2 + S5.18hs_T_2 + S8.18hs_T_2 + S9.18hs_T_2 + Est.humedad_max_T_2 + S11.max_T_1 + S13.max_T_1 + S14.max_T_1 + S17.max_T_1 + S18.max_T_1 + S20.max_T_1 + S2.max_T_1 + S3.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S14.media_T_1 + S17.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S10.min_T_1 + S12.min_T_1 + S14.min_T_1 + S16.min_T_1 + S17.min_T_1 + S6.min_T_1 + S8.min_T_1 + S10.15hs_T_1 + S12.15hs_T_1 + S14.15hs_T_1 + S15.15hs_T_1 + S16.15hs_T_1 + S18.15hs_T_1 + S1.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S14.12hs_T_1 + S4.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S14.18hs_T_1 + Est.humedad_med_T_1 + Est.temp_min_T_1 + Est.temp_max_T_1 + Est.temp_med_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##         -3.71992097          -1.58386035          -0.89716905  
##         S14.max_T_2          S16.max_T_2          S20.max_T_2  
##          1.09829098           0.54997990           0.96339757  
##          S2.max_T_2           S5.max_T_2           S9.max_T_2  
##         -0.78299204          -0.68965928           1.59854682  
##       S13.media_T_2        S14.media_T_2         S4.media_T_2  
##         -4.04827695          -2.15812221           4.01483974  
##        S6.media_T_2          S12.min_T_2          S14.min_T_2  
##          2.02147327           1.41270584           2.21237580  
##         S16.min_T_2          S20.min_T_2           S2.min_T_2  
##         -1.08239795           1.09931278          -1.91319237  
##          S9.min_T_2         S12.15hs_T_2         S13.15hs_T_2  
##         -1.60788407          -1.10857770           3.14094455  
##        S14.15hs_T_2         S17.15hs_T_2         S19.15hs_T_2  
##         -0.77993929          -2.32937012           0.55641635  
##        S20.15hs_T_2          S2.15hs_T_2          S3.15hs_T_2  
##         -0.94584278           1.41256839          -0.38942502  
##         S4.15hs_T_2          S5.15hs_T_2          S6.15hs_T_2  
##          1.34410873          -1.00931674           0.86399457  
##         S9.15hs_T_2         S10.12hs_T_2         S14.12hs_T_2  
##         -1.06322876          -0.40517253          -0.91530917  
##         S5.12hs_T_2          S8.12hs_T_2         S10.18hs_T_2  
##          0.38417251           0.92954054          -2.32517537  
##        S14.18hs_T_2         S17.18hs_T_2          S3.18hs_T_2  
##          3.19863990           1.74434830          -0.82536703  
##         S5.18hs_T_2          S8.18hs_T_2          S9.18hs_T_2  
##         -1.94629532           0.91145923          -0.66261641  
## Est.humedad_max_T_2          S11.max_T_1          S13.max_T_1  
##         -0.03589482           0.81680842          -0.78230465  
##         S14.max_T_1          S17.max_T_1          S18.max_T_1  
##          1.07072432          -0.95002479          -0.66561878  
##         S20.max_T_1           S2.max_T_1           S3.max_T_1  
##         -0.95812957           1.88930507          -0.80147525  
##          S8.max_T_1           S9.max_T_1        S10.media_T_1  
##          0.84092285          -0.80730628           6.17227747  
##       S14.media_T_1        S17.media_T_1         S5.media_T_1  
##         -1.83898946          -2.05093265          -5.17547440  
##        S6.media_T_1         S7.media_T_1         S8.media_T_1  
##          5.74385059          -2.06869707           5.00106000  
##        S9.media_T_1          S10.min_T_1          S12.min_T_1  
##         -5.12192031           1.19435345           3.29686557  
##         S14.min_T_1          S16.min_T_1          S17.min_T_1  
##         -0.78241877          -0.93197693          -0.58721561  
##          S6.min_T_1           S8.min_T_1         S10.15hs_T_1  
##          0.82763842          -2.79103627          -1.59840362  
##        S12.15hs_T_1         S14.15hs_T_1         S15.15hs_T_1  
##         -0.81505194           0.60938493          -0.58903372  
##        S16.15hs_T_1         S18.15hs_T_1          S1.15hs_T_1  
##         -0.63113867           1.44759399           0.85212620  
##         S2.15hs_T_1          S3.15hs_T_1         S14.12hs_T_1  
##         -0.57766244           1.97457616          -0.40095850  
##         S4.12hs_T_1          S6.12hs_T_1          S7.12hs_T_1  
##          1.48516977          -2.12446676           1.10116404  
##         S8.12hs_T_1          S9.12hs_T_1         S14.18hs_T_1  
##         -0.84021147           0.56627335          -0.03355250  
## Est.humedad_med_T_1     Est.temp_min_T_1     Est.temp_max_T_1  
##          0.04382743           5.87745038           3.97705324  
##    Est.temp_med_T_1  
##         -9.77454231  
## Standard deviation of the residuals: 0.603303 
## 
## $S15.min_t
## 
##   Parameters of node S15.min_t (Gaussian distribution)
## 
## Conditional density: S15.min_t | S10.max_T_2 + S11.max_T_2 + S12.max_T_2 + S14.max_T_2 + S15.max_T_2 + S18.max_T_2 + S1.max_T_2 + S20.max_T_2 + S2.max_T_2 + S3.max_T_2 + S5.max_T_2 + S7.max_T_2 + S8.max_T_2 + S9.max_T_2 + S10.media_T_2 + S12.media_T_2 + S13.media_T_2 + S15.media_T_2 + S16.media_T_2 + S17.media_T_2 + S18.media_T_2 + S20.media_T_2 + S4.media_T_2 + S5.media_T_2 + S6.media_T_2 + S9.media_T_2 + S10.min_T_2 + S11.min_T_2 + S12.min_T_2 + S15.min_T_2 + S17.min_T_2 + S18.min_T_2 + S1.min_T_2 + S20.min_T_2 + S2.min_T_2 + S5.min_T_2 + S6.min_T_2 + S8.min_T_2 + S9.min_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S15.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S2.15hs_T_2 + S3.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S7.15hs_T_2 + S9.15hs_T_2 + S10.12hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S14.12hs_T_2 + S15.12hs_T_2 + S16.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S1.12hs_T_2 + S20.12hs_T_2 + S2.12hs_T_2 + S3.12hs_T_2 + S5.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S16.18hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + S20.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S8.18hs_T_2 + S9.18hs_T_2 + Est.humedad_med_T_2 + Est.temp_max_T_2 + S10.max_T_1 + S11.max_T_1 + S14.max_T_1 + S15.max_T_1 + S16.max_T_1 + S17.max_T_1 + S19.max_T_1 + S1.max_T_1 + S20.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S7.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S11.media_T_1 + S12.media_T_1 + S13.media_T_1 + S14.media_T_1 + S15.media_T_1 + S16.media_T_1 + S18.media_T_1 + S1.media_T_1 + S2.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S15.min_T_1 + S17.min_T_1 + S18.min_T_1 + S19.min_T_1 + S1.min_T_1 + S2.min_T_1 + S3.min_T_1 + S4.min_T_1 + S5.min_T_1 + S6.min_T_1 + S8.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S12.15hs_T_1 + S15.15hs_T_1 + S16.15hs_T_1 + S18.15hs_T_1 + S19.15hs_T_1 + S1.15hs_T_1 + S20.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S5.15hs_T_1 + S6.15hs_T_1 + S7.15hs_T_1 + S9.15hs_T_1 + S10.12hs_T_1 + S11.12hs_T_1 + S12.12hs_T_1 + S15.12hs_T_1 + S16.12hs_T_1 + S18.12hs_T_1 + S19.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S2.12hs_T_1 + S3.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S12.18hs_T_1 + S13.18hs_T_1 + S14.18hs_T_1 + S15.18hs_T_1 + S1.18hs_T_1 + S3.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + S9.18hs_T_1 + Est.humedad_min_T_1 + Est.humedad_med_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##       -1.474679e+01        -1.009689e+00         9.418036e-04  
##         S12.max_T_2          S14.max_T_2          S15.max_T_2  
##        6.801079e-01         1.406029e+00        -1.370604e-01  
##         S18.max_T_2           S1.max_T_2          S20.max_T_2  
##       -1.901526e+00         1.034725e+00         1.789711e+00  
##          S2.max_T_2           S3.max_T_2           S5.max_T_2  
##       -9.289013e-01         1.407867e+00        -3.475552e+00  
##          S7.max_T_2           S8.max_T_2           S9.max_T_2  
##        4.831892e-01         3.565917e-01         8.720405e-01  
##       S10.media_T_2        S12.media_T_2        S13.media_T_2  
##       -4.610991e+00        -6.212379e-01        -6.103619e+00  
##       S15.media_T_2        S16.media_T_2        S17.media_T_2  
##       -4.718829e+00         3.939744e-04         1.218387e+00  
##       S18.media_T_2        S20.media_T_2         S4.media_T_2  
##        3.362876e+00        -4.564251e+00         8.591813e+00  
##        S5.media_T_2         S6.media_T_2         S9.media_T_2  
##       -2.027035e+00         6.225805e-01         8.199906e+00  
##         S10.min_T_2          S11.min_T_2          S12.min_T_2  
##       -6.331600e-01         5.643595e-01        -1.455571e+00  
##         S15.min_T_2          S17.min_T_2          S18.min_T_2  
##       -2.379445e+00        -3.176867e-01         1.782054e+00  
##          S1.min_T_2          S20.min_T_2           S2.min_T_2  
##       -8.833671e-02         3.840867e+00        -1.632051e+00  
##          S5.min_T_2           S6.min_T_2           S8.min_T_2  
##       -2.018952e+00         1.964106e+00         7.173884e-01  
##          S9.min_T_2         S12.15hs_T_2         S13.15hs_T_2  
##       -2.351665e-01        -2.133241e+00         3.335810e+00  
##        S14.15hs_T_2         S15.15hs_T_2         S16.15hs_T_2  
##       -2.603826e+00        -1.478589e+00         1.667398e+00  
##        S17.15hs_T_2         S18.15hs_T_2          S2.15hs_T_2  
##       -5.089534e+00         4.092371e+00        -1.058146e+00  
##         S3.15hs_T_2          S4.15hs_T_2          S5.15hs_T_2  
##       -2.152545e+00         2.130385e+00        -9.095683e-01  
##         S6.15hs_T_2          S7.15hs_T_2          S9.15hs_T_2  
##        2.186636e+00         1.836052e+00         3.113074e-02  
##        S10.12hs_T_2         S11.12hs_T_2         S12.12hs_T_2  
##       -3.257625e-01        -1.296693e-01        -2.968218e+00  
##        S14.12hs_T_2         S15.12hs_T_2         S16.12hs_T_2  
##       -4.018358e-03         2.308718e+00        -1.233533e-01  
##        S17.12hs_T_2         S18.12hs_T_2          S1.12hs_T_2  
##       -3.859170e-01         1.049472e-01        -5.892723e-01  
##        S20.12hs_T_2          S2.12hs_T_2          S3.12hs_T_2  
##       -1.233696e-02        -1.873628e+00        -2.413525e-03  
##         S5.12hs_T_2          S7.12hs_T_2          S8.12hs_T_2  
##        3.494793e+00        -1.158161e+00         1.605872e+00  
##        S10.18hs_T_2         S11.18hs_T_2         S14.18hs_T_2  
##       -1.524514e+00        -4.277947e-01         3.652561e+00  
##        S15.18hs_T_2         S16.18hs_T_2         S18.18hs_T_2  
##        3.093922e+00         2.963839e-02        -8.574393e-01  
##         S1.18hs_T_2         S20.18hs_T_2          S2.18hs_T_2  
##        1.849071e-01         2.272681e+00         1.155714e+00  
##         S3.18hs_T_2          S4.18hs_T_2          S5.18hs_T_2  
##       -2.869925e+00        -3.362129e+00        -7.835728e-03  
##         S6.18hs_T_2          S7.18hs_T_2          S8.18hs_T_2  
##        1.394032e+00         1.239149e+00        -1.115265e+00  
##         S9.18hs_T_2  Est.humedad_med_T_2     Est.temp_max_T_2  
##       -3.052604e+00         7.732441e-02         5.042874e-01  
##         S10.max_T_1          S11.max_T_1          S14.max_T_1  
##       -1.462227e-01         1.818843e+00         1.257752e+00  
##         S15.max_T_1          S16.max_T_1          S17.max_T_1  
##       -1.368229e+00        -8.775722e-02        -4.134613e-01  
##         S19.max_T_1           S1.max_T_1          S20.max_T_1  
##        1.379825e-01        -2.585175e+00        -7.187254e-01  
##          S2.max_T_1           S3.max_T_1           S4.max_T_1  
##        1.710267e+00        -1.641045e+00         2.401178e-01  
##          S7.max_T_1           S8.max_T_1           S9.max_T_1  
##       -1.346155e+00         2.020744e+00         1.034276e+00  
##       S10.media_T_1        S11.media_T_1        S12.media_T_1  
##       -9.093713e+00         1.314209e+00         2.590301e+00  
##       S13.media_T_1        S14.media_T_1        S15.media_T_1  
##       -6.586182e-01         2.332879e+00         3.916631e-01  
##       S16.media_T_1        S18.media_T_1         S1.media_T_1  
##        3.793583e+00         6.337082e+00        -7.692532e-01  
##        S2.media_T_1         S5.media_T_1         S6.media_T_1  
##       -7.460338e+00        -6.471900e+00         1.705191e+00  
##        S7.media_T_1         S8.media_T_1         S9.media_T_1  
##        1.059573e+00         5.849559e+00        -1.382608e-01  
##         S12.min_T_1          S13.min_T_1          S14.min_T_1  
##        3.922151e+00         7.995154e-01        -2.610525e+00  
##         S15.min_T_1          S17.min_T_1          S18.min_T_1  
##        1.486930e+00         4.718768e-01         4.059753e-01  
##         S19.min_T_1           S1.min_T_1           S2.min_T_1  
##       -1.407719e+00         7.815618e-01        -1.997637e+00  
##          S3.min_T_1           S4.min_T_1           S5.min_T_1  
##        1.850804e+00        -5.837303e-01        -5.571668e+00  
##          S6.min_T_1           S8.min_T_1         S10.15hs_T_1  
##        2.128553e+00         3.525590e-01        -3.097068e+00  
##        S11.15hs_T_1         S12.15hs_T_1         S15.15hs_T_1  
##       -1.530831e+00        -1.821604e+00        -4.475528e-01  
##        S16.15hs_T_1         S18.15hs_T_1         S19.15hs_T_1  
##       -1.238261e+00        -6.110379e-02         1.266088e-01  
##         S1.15hs_T_1         S20.15hs_T_1          S2.15hs_T_1  
##        8.128936e-01         3.078969e+00        -2.095653e+00  
##         S3.15hs_T_1          S4.15hs_T_1          S5.15hs_T_1  
##        3.382080e+00        -1.727713e+00         1.772798e+00  
##         S6.15hs_T_1          S7.15hs_T_1          S9.15hs_T_1  
##        1.361916e+00         1.118515e+00         3.478045e-01  
##        S10.12hs_T_1         S11.12hs_T_1         S12.12hs_T_1  
##        1.381523e+00        -1.267317e+00         2.606571e-01  
##        S15.12hs_T_1         S16.12hs_T_1         S18.12hs_T_1  
##        6.368564e-01        -6.436101e-01         4.563508e-01  
##        S19.12hs_T_1          S1.12hs_T_1         S20.12hs_T_1  
##        2.970584e-01        -7.010697e-01         9.594750e-01  
##         S2.12hs_T_1          S3.12hs_T_1          S4.12hs_T_1  
##       -3.476020e-01         8.080276e-01         1.275057e+00  
##         S5.12hs_T_1          S6.12hs_T_1          S7.12hs_T_1  
##       -7.019574e-01        -2.530765e+00         1.800110e+00  
##         S8.12hs_T_1         S12.18hs_T_1         S13.18hs_T_1  
##       -1.379180e+00         1.432208e+00         5.015968e-02  
##        S14.18hs_T_1         S15.18hs_T_1          S1.18hs_T_1  
##       -8.173934e-01         9.078804e-01        -1.364792e+00  
##         S3.18hs_T_1          S5.18hs_T_1          S6.18hs_T_1  
##        2.987799e+00        -4.670003e+00         4.896999e+00  
##         S7.18hs_T_1          S8.18hs_T_1          S9.18hs_T_1  
##       -1.505994e+00        -2.011788e+00        -2.789453e-02  
## Est.humedad_min_T_1  Est.humedad_med_T_1     Est.temp_min_T_1  
##        1.118845e+00        -1.139578e+00         6.079897e-03  
## Standard deviation of the residuals: 2.231631e-08 
## 
## $S16.min_t
## 
##   Parameters of node S16.min_t (Gaussian distribution)
## 
## Conditional density: S16.min_t | S11.max_T_2 + S12.max_T_2 + S13.max_T_2 + S14.max_T_2 + S15.max_T_2 + S16.max_T_2 + S17.max_T_2 + S20.max_T_2 + S2.max_T_2 + S5.max_T_2 + S6.max_T_2 + S7.max_T_2 + S9.max_T_2 + S10.media_T_2 + S15.media_T_2 + S16.media_T_2 + S17.media_T_2 + S18.media_T_2 + S1.media_T_2 + S2.media_T_2 + S3.media_T_2 + S4.media_T_2 + S6.media_T_2 + S7.media_T_2 + S11.min_T_2 + S12.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S19.min_T_2 + S1.min_T_2 + S2.min_T_2 + S3.min_T_2 + S4.min_T_2 + S5.min_T_2 + S9.min_T_2 + S11.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S15.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S19.15hs_T_2 + S1.15hs_T_2 + S3.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S7.15hs_T_2 + S9.15hs_T_2 + S12.12hs_T_2 + S13.12hs_T_2 + S14.12hs_T_2 + S16.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S2.12hs_T_2 + S4.12hs_T_2 + S6.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S10.18hs_T_2 + S12.18hs_T_2 + S13.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S16.18hs_T_2 + S17.18hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + S20.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S9.18hs_T_2 + Est.humedad_min_T_2 + Est.temp_med_T_2 + S10.max_T_1 + S11.max_T_1 + S12.max_T_1 + S13.max_T_1 + S14.max_T_1 + S15.max_T_1 + S16.max_T_1 + S17.max_T_1 + S18.max_T_1 + S1.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S5.max_T_1 + S6.max_T_1 + S7.max_T_1 + S8.max_T_1 + S10.media_T_1 + S14.media_T_1 + S16.media_T_1 + S17.media_T_1 + S18.media_T_1 + S19.media_T_1 + S1.media_T_1 + S20.media_T_1 + S2.media_T_1 + S3.media_T_1 + S6.media_T_1 + S7.media_T_1 + S9.media_T_1 + S10.min_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S15.min_T_1 + S16.min_T_1 + S17.min_T_1 + S18.min_T_1 + S19.min_T_1 + S1.min_T_1 + S20.min_T_1 + S2.min_T_1 + S3.min_T_1 + S6.min_T_1 + S8.min_T_1 + S9.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S13.15hs_T_1 + S14.15hs_T_1 + S15.15hs_T_1 + S16.15hs_T_1 + S17.15hs_T_1 + S18.15hs_T_1 + S1.15hs_T_1 + S20.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S5.15hs_T_1 + S6.15hs_T_1 + S8.15hs_T_1 + S9.15hs_T_1 + S11.12hs_T_1 + S12.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S16.12hs_T_1 + S17.12hs_T_1 + S18.12hs_T_1 + S19.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S3.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S11.18hs_T_1 + S12.18hs_T_1 + S13.18hs_T_1 + S16.18hs_T_1 + S1.18hs_T_1 + S20.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S8.18hs_T_1 + S9.18hs_T_1 + Est.humedad_min_T_1 + Est.humedad_med_T_1 + Est.humedad_max_T_1 + Est.temp_min_T_1 + Est.temp_max_T_1 + Est.temp_med_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2          S12.max_T_2  
##       -7.114000e-01         6.689059e-01         3.480928e-01  
##         S13.max_T_2          S14.max_T_2          S15.max_T_2  
##        1.452903e+00         1.171980e+00        -6.583672e-01  
##         S16.max_T_2          S17.max_T_2          S20.max_T_2  
##        3.563197e-01        -9.732577e-02         4.377354e-01  
##          S2.max_T_2           S5.max_T_2           S6.max_T_2  
##       -3.464871e+00        -1.539909e+00         1.307372e-01  
##          S7.max_T_2           S9.max_T_2        S10.media_T_2  
##        9.984216e-01         1.412954e+00        -3.422541e+00  
##       S15.media_T_2        S16.media_T_2        S17.media_T_2  
##        2.502367e+00        -1.090617e+00        -7.493128e+00  
##       S18.media_T_2         S1.media_T_2         S2.media_T_2  
##       -3.572998e-01         7.874639e+00         1.175833e+01  
##        S3.media_T_2         S4.media_T_2         S6.media_T_2  
##       -9.246908e+00         7.395710e+00        -5.374377e+00  
##        S7.media_T_2          S11.min_T_2          S12.min_T_2  
##       -2.561491e+00         7.149199e-01         9.166880e-01  
##         S16.min_T_2          S17.min_T_2          S18.min_T_2  
##        1.401880e+00        -5.800829e-01         3.350910e-01  
##         S19.min_T_2           S1.min_T_2           S2.min_T_2  
##        1.908026e-01        -2.325852e+00        -2.315878e+00  
##          S3.min_T_2           S4.min_T_2           S5.min_T_2  
##        2.027115e+00        -4.098821e-01        -7.140513e-01  
##          S9.min_T_2         S11.15hs_T_2         S12.15hs_T_2  
##        8.234768e-01         1.886979e+00        -2.587396e+00  
##        S13.15hs_T_2         S14.15hs_T_2         S15.15hs_T_2  
##        4.512588e+00        -3.964182e+00        -7.345002e-01  
##        S16.15hs_T_2         S17.15hs_T_2         S19.15hs_T_2  
##        1.904265e+00        -2.880054e-01        -1.581624e-01  
##         S1.15hs_T_2          S3.15hs_T_2          S4.15hs_T_2  
##       -7.980008e-01        -4.730299e-01         7.864725e-01  
##         S5.15hs_T_2          S6.15hs_T_2          S7.15hs_T_2  
##       -1.917435e+00         5.324972e+00        -3.500165e+00  
##         S9.15hs_T_2         S12.12hs_T_2         S13.12hs_T_2  
##       -4.906076e-03         1.604687e-02         6.998814e-01  
##        S14.12hs_T_2         S16.12hs_T_2         S17.12hs_T_2  
##       -1.195309e+00        -7.903395e-01         1.472267e+00  
##        S18.12hs_T_2          S2.12hs_T_2          S4.12hs_T_2  
##        7.225772e-01        -8.326334e-01         5.299709e-01  
##         S6.12hs_T_2          S7.12hs_T_2          S8.12hs_T_2  
##        3.017723e-01        -2.377795e+00         1.269370e+00  
##        S10.18hs_T_2         S12.18hs_T_2         S13.18hs_T_2  
##       -2.806334e+00         2.322429e+00        -5.293861e+00  
##        S14.18hs_T_2         S15.18hs_T_2         S16.18hs_T_2  
##        3.934021e+00         3.636095e+00        -1.506185e-01  
##        S17.18hs_T_2         S18.18hs_T_2          S1.18hs_T_2  
##       -5.839857e-01         5.506758e-02        -8.727466e-01  
##        S20.18hs_T_2          S2.18hs_T_2          S3.18hs_T_2  
##        1.333654e+00         3.703538e-01         1.413416e+00  
##         S4.18hs_T_2          S5.18hs_T_2          S6.18hs_T_2  
##       -4.444564e+00        -3.033620e+00        -4.965037e-03  
##         S7.18hs_T_2          S9.18hs_T_2  Est.humedad_min_T_2  
##        2.847031e+00         4.018987e-01        -5.441575e-03  
##    Est.temp_med_T_2          S10.max_T_1          S11.max_T_1  
##       -1.651295e-05         2.567065e-01         1.400691e+00  
##         S12.max_T_1          S13.max_T_1          S14.max_T_1  
##        8.507312e-01        -2.015094e+00        -1.947830e-01  
##         S15.max_T_1          S16.max_T_1          S17.max_T_1  
##       -1.401279e+00        -1.279876e+00         2.140167e+00  
##         S18.max_T_1           S1.max_T_1           S2.max_T_1  
##        1.980392e-01        -1.395100e+00         9.351399e-01  
##          S3.max_T_1           S4.max_T_1           S5.max_T_1  
##       -2.505002e+00         8.068664e-01         1.414684e-01  
##          S6.max_T_1           S7.max_T_1           S8.max_T_1  
##       -7.204256e-01        -1.307766e+00         2.959445e+00  
##       S10.media_T_1        S14.media_T_1        S16.media_T_1  
##        1.632818e+01        -1.247983e+00         5.313915e+00  
##       S17.media_T_1        S18.media_T_1        S19.media_T_1  
##       -7.828637e+00         2.151459e+00         4.492842e+00  
##        S1.media_T_1        S20.media_T_1         S2.media_T_1  
##       -1.225967e+00        -6.888684e+00        -3.328220e+00  
##        S3.media_T_1         S6.media_T_1         S7.media_T_1  
##        4.351110e-01         4.506255e+00         5.900909e-01  
##        S9.media_T_1          S10.min_T_1          S12.min_T_1  
##       -1.251053e+01         2.856778e+00         4.978469e+00  
##         S13.min_T_1          S14.min_T_1          S15.min_T_1  
##        1.639720e+00        -5.716776e+00         2.003098e+00  
##         S16.min_T_1          S17.min_T_1          S18.min_T_1  
##       -3.190325e+00         4.194889e-01        -2.668981e-01  
##         S19.min_T_1           S1.min_T_1          S20.min_T_1  
##        8.762670e-01         1.330008e+00        -4.545429e-01  
##          S2.min_T_1           S3.min_T_1           S6.min_T_1  
##       -5.311391e-01        -3.378644e-01         7.049414e-01  
##          S8.min_T_1           S9.min_T_1         S10.15hs_T_1  
##       -2.682742e+00        -1.702183e+00        -3.947849e+00  
##        S11.15hs_T_1         S13.15hs_T_1         S14.15hs_T_1  
##       -1.733536e+00         7.547385e-01         2.243420e+00  
##        S15.15hs_T_1         S16.15hs_T_1         S17.15hs_T_1  
##       -1.956852e+00        -2.757114e+00         3.197073e-01  
##        S18.15hs_T_1          S1.15hs_T_1         S20.15hs_T_1  
##        7.494326e-01         1.069282e+00         1.743341e+00  
##         S3.15hs_T_1          S4.15hs_T_1          S5.15hs_T_1  
##        3.116438e+00        -8.513040e-01         1.583898e-01  
##         S6.15hs_T_1          S8.15hs_T_1          S9.15hs_T_1  
##        7.125709e-01        -3.177810e-01         1.720949e+00  
##        S11.12hs_T_1         S12.12hs_T_1         S14.12hs_T_1  
##        7.284880e-01        -1.761246e+00        -3.965489e-02  
##        S15.12hs_T_1         S16.12hs_T_1         S17.12hs_T_1  
##       -3.354035e-01         1.557536e+00        -1.202999e+00  
##        S18.12hs_T_1         S19.12hs_T_1          S1.12hs_T_1  
##       -1.050876e-01         8.760819e-01        -6.330777e-02  
##        S20.12hs_T_1          S3.12hs_T_1          S4.12hs_T_1  
##       -9.050473e-02         2.364189e-02         2.108053e+00  
##         S5.12hs_T_1          S6.12hs_T_1          S7.12hs_T_1  
##       -1.958897e+00        -3.996167e+00         4.973077e+00  
##         S8.12hs_T_1          S9.12hs_T_1         S11.18hs_T_1  
##       -2.567134e+00         2.142637e+00         1.755819e+00  
##        S12.18hs_T_1         S13.18hs_T_1         S16.18hs_T_1  
##        3.345868e-01        -7.579496e-01        -1.641525e+00  
##         S1.18hs_T_1         S20.18hs_T_1          S5.18hs_T_1  
##       -2.643975e-01         1.112449e+00        -1.605804e+00  
##         S6.18hs_T_1          S8.18hs_T_1          S9.18hs_T_1  
##        3.113637e+00        -3.973519e-01        -1.683835e+00  
## Est.humedad_min_T_1  Est.humedad_med_T_1  Est.humedad_max_T_1  
##       -5.362567e-03         6.618146e-02        -7.220636e-02  
##    Est.temp_min_T_1     Est.temp_max_T_1     Est.temp_med_T_1  
##        7.505367e+00         4.604943e+00        -1.226731e+01  
## Standard deviation of the residuals: 5.641661e-08 
## 
## $S18.min_t
## 
##   Parameters of node S18.min_t (Gaussian distribution)
## 
## Conditional density: S18.min_t | S18.max_T_2 + S5.max_T_2 + S18.media_T_2 + S4.media_T_2 + S12.min_T_2 + S16.min_T_2 + S18.min_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S18.15hs_T_2 + S18.12hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + Est.temp_min_T_2 + Est.temp_max_T_2 + S13.max_T_1 + S18.max_T_1 + S2.max_T_1 + S18.media_T_1 + S20.media_T_1 + S8.media_T_1 + S9.media_T_1 + S15.min_T_1 + S18.min_T_1 + S18.15hs_T_1 + S18.12hs_T_1 + S4.12hs_T_1 + S8.12hs_T_1 + S12.18hs_T_1 + S18.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)          S18.max_T_2           S5.max_T_2  
##        -5.381962093          1.074500278         -0.909682146  
##       S18.media_T_2         S4.media_T_2          S12.min_T_2  
##        -3.958021028          3.738595666          0.963977267  
##         S16.min_T_2          S18.min_T_2         S12.15hs_T_2  
##        -1.509784086          0.787350766         -0.951271250  
##        S13.15hs_T_2         S18.15hs_T_2         S18.12hs_T_2  
##         2.002179789         -1.029748180         -0.085457797  
##        S18.18hs_T_2          S1.18hs_T_2     Est.temp_min_T_2  
##         0.742234664         -0.745686791          0.610075675  
##    Est.temp_max_T_2          S13.max_T_1          S18.max_T_1  
##        -0.472701323         -1.431836979         -0.002788392  
##          S2.max_T_1        S18.media_T_1        S20.media_T_1  
##         1.419684895          0.811094370         -1.923214618  
##        S8.media_T_1         S9.media_T_1          S15.min_T_1  
##         7.704356712         -6.254563387          0.963276655  
##         S18.min_T_1         S18.15hs_T_1         S18.12hs_T_1  
##        -0.686954555          0.307218137          0.196849384  
##         S4.12hs_T_1          S8.12hs_T_1         S12.18hs_T_1  
##         0.883005719         -1.128755332          0.455091142  
##        S18.18hs_T_1  Est.humedad_min_T_1  
##        -0.529766757          0.041665114  
## Standard deviation of the residuals: 1.360919 
## 
## $S19.min_t
## 
##   Parameters of node S19.min_t (Gaussian distribution)
## 
## Conditional density: S19.min_t | S19.max_T_2 + S19.media_T_2 + S4.media_T_2 + S19.min_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S17.15hs_T_2 + S19.15hs_T_2 + S19.12hs_T_2 + S10.18hs_T_2 + S14.18hs_T_2 + S19.18hs_T_2 + S4.18hs_T_2 + Est.temp_min_T_2 + S19.max_T_1 + S13.media_T_1 + S19.media_T_1 + S2.media_T_1 + S9.media_T_1 + S19.min_T_1 + S1.min_T_1 + S19.15hs_T_1 + S19.12hs_T_1 + S4.12hs_T_1 + S12.18hs_T_1 + S19.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)          S19.max_T_2        S19.media_T_2  
##         -6.64357721           0.18941101          -4.56637022  
##        S4.media_T_2          S19.min_T_2         S12.15hs_T_2  
##          4.46001218           0.11968879          -0.97748653  
##        S13.15hs_T_2         S14.15hs_T_2         S17.15hs_T_2  
##          2.47565170          -0.76134217          -0.50915172  
##        S19.15hs_T_2         S19.12hs_T_2         S10.18hs_T_2  
##         -0.10029141          -0.36799041          -1.17869421  
##        S14.18hs_T_2         S19.18hs_T_2          S4.18hs_T_2  
##          1.47998905           0.57446874          -0.84450776  
##    Est.temp_min_T_2          S19.max_T_1        S13.media_T_1  
##          0.22945698          -0.04634780          -4.57262113  
##       S19.media_T_1         S2.media_T_1         S9.media_T_1  
##          6.14328374           5.13028793          -6.78846722  
##         S19.min_T_1           S1.min_T_1         S19.15hs_T_1  
##         -0.17797287           0.72681748           0.31628730  
##        S19.12hs_T_1          S4.12hs_T_1         S12.18hs_T_1  
##         -0.36381886           0.43488257           0.55059638  
##        S19.18hs_T_1  Est.humedad_min_T_1  
##         -0.54686742           0.04392422  
## Standard deviation of the residuals: 1.461595 
## 
## $S1.min_t
## 
##   Parameters of node S1.min_t (Gaussian distribution)
## 
## Conditional density: S1.min_t | S16.max_T_2 + S1.max_T_2 + S4.max_T_2 + S12.media_T_2 + S15.media_T_2 + S17.media_T_2 + S1.media_T_2 + S4.media_T_2 + S6.media_T_2 + S12.min_T_2 + S16.min_T_2 + S1.min_T_2 + S13.15hs_T_2 + S17.15hs_T_2 + S1.15hs_T_2 + S5.15hs_T_2 + S19.12hs_T_2 + S1.12hs_T_2 + S14.18hs_T_2 + S1.18hs_T_2 + S6.18hs_T_2 + S9.18hs_T_2 + Est.temp_min_T_2 + Est.temp_med_T_2 + S1.max_T_1 + S2.max_T_1 + S9.max_T_1 + S13.media_T_1 + S1.media_T_1 + S8.media_T_1 + S9.media_T_1 + S12.min_T_1 + S1.min_T_1 + S8.min_T_1 + S12.15hs_T_1 + S1.15hs_T_1 + S16.12hs_T_1 + S1.12hs_T_1 + S4.12hs_T_1 + S1.18hs_T_1 + S3.18hs_T_1 + S8.18hs_T_1 + Est.humedad_med_T_1
## Coefficients:
##         (Intercept)          S16.max_T_2           S1.max_T_2  
##         -5.72645747           1.04427900          -0.51413444  
##          S4.max_T_2        S12.media_T_2        S15.media_T_2  
##         -0.42720837          -2.42295479          -1.76718362  
##       S17.media_T_2         S1.media_T_2         S4.media_T_2  
##         -2.17198218          -2.79720787           5.14020973  
##        S6.media_T_2          S12.min_T_2          S16.min_T_2  
##          4.27413626           1.81845933          -1.71273324  
##          S1.min_T_2         S13.15hs_T_2         S17.15hs_T_2  
##         -0.10962645           1.95527300          -0.67320067  
##         S1.15hs_T_2          S5.15hs_T_2         S19.12hs_T_2  
##          0.25132415          -1.53007437          -0.60507023  
##         S1.12hs_T_2         S14.18hs_T_2          S1.18hs_T_2  
##          0.34917532           3.01888545          -0.79089788  
##         S6.18hs_T_2          S9.18hs_T_2     Est.temp_min_T_2  
##         -1.36177707          -0.74152529           1.07468040  
##    Est.temp_med_T_2           S1.max_T_1           S2.max_T_1  
##         -0.90685650          -0.77280238           1.47176696  
##          S9.max_T_1        S13.media_T_1         S1.media_T_1  
##         -0.78716627          -3.51623628           3.90219693  
##        S8.media_T_1         S9.media_T_1          S12.min_T_1  
##          3.89795485          -4.48681617           1.48109505  
##          S1.min_T_1           S8.min_T_1         S12.15hs_T_1  
##          0.41999126          -1.44532496          -0.85139194  
##         S1.15hs_T_1         S16.12hs_T_1          S1.12hs_T_1  
##          1.33183347          -0.41952162          -0.52586073  
##         S4.12hs_T_1          S1.18hs_T_1          S3.18hs_T_1  
##          0.92194707           0.16938800          -0.72549108  
##         S8.18hs_T_1  Est.humedad_med_T_1  
##          0.56595446           0.02894895  
## Standard deviation of the residuals: 1.217089 
## 
## $S20.min_t
## 
##   Parameters of node S20.min_t (Gaussian distribution)
## 
## Conditional density: S20.min_t | S10.max_T_2 + S11.max_T_2 + S12.max_T_2 + S13.max_T_2 + S14.max_T_2 + S17.max_T_2 + S1.max_T_2 + S20.max_T_2 + S2.max_T_2 + S4.max_T_2 + S5.max_T_2 + S6.max_T_2 + S8.max_T_2 + S9.max_T_2 + S10.media_T_2 + S11.media_T_2 + S12.media_T_2 + S13.media_T_2 + S15.media_T_2 + S17.media_T_2 + S18.media_T_2 + S19.media_T_2 + S20.media_T_2 + S2.media_T_2 + S3.media_T_2 + S4.media_T_2 + S7.media_T_2 + S8.media_T_2 + S10.min_T_2 + S11.min_T_2 + S12.min_T_2 + S14.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S20.min_T_2 + S2.min_T_2 + S5.min_T_2 + S6.min_T_2 + S7.min_T_2 + S8.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S11.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S15.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S1.15hs_T_2 + S20.15hs_T_2 + S2.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S7.15hs_T_2 + S9.15hs_T_2 + S10.12hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S13.12hs_T_2 + S14.12hs_T_2 + S15.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S20.12hs_T_2 + S2.12hs_T_2 + S5.12hs_T_2 + S7.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S13.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + S20.18hs_T_2 + S2.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S9.18hs_T_2 + Est.humedad_min_T_2 + Est.humedad_med_T_2 + Est.humedad_max_T_2 + Est.temp_max_T_2 + S10.max_T_1 + S11.max_T_1 + S12.max_T_1 + S13.max_T_1 + S14.max_T_1 + S15.max_T_1 + S17.max_T_1 + S19.max_T_1 + S20.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S5.max_T_1 + S6.max_T_1 + S7.max_T_1 + S8.max_T_1 + S10.media_T_1 + S11.media_T_1 + S12.media_T_1 + S13.media_T_1 + S14.media_T_1 + S16.media_T_1 + S17.media_T_1 + S18.media_T_1 + S20.media_T_1 + S2.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S15.min_T_1 + S16.min_T_1 + S17.min_T_1 + S18.min_T_1 + S19.min_T_1 + S20.min_T_1 + S2.min_T_1 + S3.min_T_1 + S4.min_T_1 + S5.min_T_1 + S7.min_T_1 + S8.min_T_1 + S9.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S13.15hs_T_1 + S14.15hs_T_1 + S15.15hs_T_1 + S16.15hs_T_1 + S19.15hs_T_1 + S20.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S7.15hs_T_1 + S8.15hs_T_1 + S10.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S17.12hs_T_1 + S19.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S2.12hs_T_1 + S3.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S11.18hs_T_1 + S13.18hs_T_1 + S17.18hs_T_1 + S18.18hs_T_1 + S20.18hs_T_1 + S3.18hs_T_1 + S4.18hs_T_1 + S5.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + Est.humedad_med_T_1 + Est.temp_max_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##       -1.200927e+01        -2.717120e+00        -6.778034e-01  
##         S12.max_T_2          S13.max_T_2          S14.max_T_2  
##        1.020086e+00         2.298489e-01         7.650800e-02  
##         S17.max_T_2           S1.max_T_2          S20.max_T_2  
##        1.709640e+00        -4.091903e-01         1.769491e+00  
##          S2.max_T_2           S4.max_T_2           S5.max_T_2  
##       -4.344834e-01         4.900806e-01        -2.801213e+00  
##          S6.max_T_2           S8.max_T_2           S9.max_T_2  
##       -1.039863e-01        -1.434822e-03         1.535629e+00  
##       S10.media_T_2        S11.media_T_2        S12.media_T_2  
##       -9.098410e+00        -2.008864e-01         6.720389e+00  
##       S13.media_T_2        S15.media_T_2        S17.media_T_2  
##       -7.677276e+00        -4.382043e+00        -1.131575e+00  
##       S18.media_T_2        S19.media_T_2        S20.media_T_2  
##       -2.054055e-02        -3.020089e-01         4.330497e-01  
##        S2.media_T_2         S3.media_T_2         S4.media_T_2  
##        1.222110e+00        -3.851853e+00         1.341144e+00  
##        S7.media_T_2         S8.media_T_2          S10.min_T_2  
##        1.238502e+01         4.220310e+00         2.483078e+00  
##         S11.min_T_2          S12.min_T_2          S14.min_T_2  
##        1.989635e+00        -2.879582e+00         1.054572e-01  
##         S16.min_T_2          S17.min_T_2          S18.min_T_2  
##        1.120687e+00        -1.922615e-02         9.262837e-01  
##         S20.min_T_2           S2.min_T_2           S5.min_T_2  
##        1.165933e+00        -9.590010e-01         1.713676e-01  
##          S6.min_T_2           S7.min_T_2           S8.min_T_2  
##        1.520637e-01        -2.243377e+00         4.055281e-01  
##          S9.min_T_2         S10.15hs_T_2         S11.15hs_T_2  
##       -2.228424e+00         4.356829e-01         1.406715e+00  
##        S12.15hs_T_2         S13.15hs_T_2         S15.15hs_T_2  
##       -2.652930e+00         5.147731e+00        -4.213728e-01  
##        S16.15hs_T_2         S17.15hs_T_2         S18.15hs_T_2  
##       -3.430381e-01        -2.850236e+00         7.955118e-01  
##         S1.15hs_T_2         S20.15hs_T_2          S2.15hs_T_2  
##       -7.038588e-01        -1.015083e+00        -9.680895e-01  
##         S4.15hs_T_2          S5.15hs_T_2          S6.15hs_T_2  
##        3.054229e+00         7.870608e-01         7.939637e-01  
##         S7.15hs_T_2          S9.15hs_T_2         S10.12hs_T_2  
##       -1.823225e+00        -1.360596e+00         3.374262e-02  
##        S11.12hs_T_2         S12.12hs_T_2         S13.12hs_T_2  
##       -1.054850e+00        -1.613038e+00        -4.049708e-01  
##        S14.12hs_T_2         S15.12hs_T_2         S17.12hs_T_2  
##        1.418729e-01         2.344656e+00        -2.432995e-01  
##        S18.12hs_T_2         S20.12hs_T_2          S2.12hs_T_2  
##        4.923706e-01         2.107836e-01         9.441972e-01  
##         S5.12hs_T_2          S7.12hs_T_2         S10.18hs_T_2  
##        4.948873e-01        -1.513973e+00         1.637418e-01  
##        S11.18hs_T_2         S13.18hs_T_2         S14.18hs_T_2  
##        6.734180e-02        -5.114328e-02         2.454305e+00  
##        S15.18hs_T_2         S18.18hs_T_2          S1.18hs_T_2  
##        1.845742e+00        -1.152171e+00        -2.035358e+00  
##        S20.18hs_T_2          S2.18hs_T_2          S5.18hs_T_2  
##       -5.260403e-02        -4.897579e-01         1.454976e+00  
##         S6.18hs_T_2          S7.18hs_T_2          S9.18hs_T_2  
##       -2.255625e+00        -1.002992e+00         1.192338e+00  
## Est.humedad_min_T_2  Est.humedad_med_T_2  Est.humedad_max_T_2  
##       -5.538058e-01         3.837839e-01         1.286748e-01  
##    Est.temp_max_T_2          S10.max_T_1          S11.max_T_1  
##       -3.413850e-02         4.054723e-01         8.340587e-01  
##         S12.max_T_1          S13.max_T_1          S14.max_T_1  
##       -2.602601e-01        -1.281913e+00         8.072738e-01  
##         S15.max_T_1          S17.max_T_1          S19.max_T_1  
##       -2.729924e+00         5.729329e-01        -9.011979e-01  
##         S20.max_T_1           S2.max_T_1           S3.max_T_1  
##       -1.009226e+00         2.444510e+00        -2.050745e+00  
##          S4.max_T_1           S5.max_T_1           S6.max_T_1  
##        8.376319e-04         6.779298e-02        -3.628933e-01  
##          S7.max_T_1           S8.max_T_1        S10.media_T_1  
##       -1.729511e-01         2.845207e+00         1.125829e+01  
##       S11.media_T_1        S12.media_T_1        S13.media_T_1  
##        5.141444e-02        -2.927425e-01        -1.021418e+00  
##       S14.media_T_1        S16.media_T_1        S17.media_T_1  
##       -9.411015e+00         1.433786e+00        -4.523330e+00  
##       S18.media_T_1        S20.media_T_1         S2.media_T_1  
##        7.557399e+00        -6.528011e+00         2.748891e+00  
##        S3.media_T_1         S4.media_T_1         S5.media_T_1  
##        7.778656e+00         1.507638e+00        -1.041229e+01  
##        S6.media_T_1         S7.media_T_1         S8.media_T_1  
##        1.263354e+01        -1.317295e+01         6.141227e+00  
##        S9.media_T_1          S12.min_T_1          S13.min_T_1  
##       -4.419100e+00         2.063390e+00        -2.724996e+00  
##         S14.min_T_1          S15.min_T_1          S16.min_T_1  
##       -1.646477e+00         3.813178e+00         1.165811e+00  
##         S17.min_T_1          S18.min_T_1          S19.min_T_1  
##        1.870424e-01         1.490006e+00        -2.889798e+00  
##         S20.min_T_1           S2.min_T_1           S3.min_T_1  
##       -4.025636e-01         1.777116e-01         3.755048e+00  
##          S4.min_T_1           S5.min_T_1           S7.min_T_1  
##       -2.876356e+00        -1.074292e+00        -1.265425e+00  
##          S8.min_T_1           S9.min_T_1         S10.15hs_T_1  
##       -9.660973e-03         2.923635e-01        -2.838508e+00  
##        S11.15hs_T_1         S13.15hs_T_1         S14.15hs_T_1  
##       -2.298396e+00        -1.155916e-02         2.621418e-01  
##        S15.15hs_T_1         S16.15hs_T_1         S19.15hs_T_1  
##        1.084997e+00        -1.819203e-04         1.505535e+00  
##        S20.15hs_T_1          S2.15hs_T_1          S3.15hs_T_1  
##        1.645665e+00        -1.298681e-01         1.257128e+00  
##         S4.15hs_T_1          S7.15hs_T_1          S8.15hs_T_1  
##       -6.324889e-01         1.967522e+00        -1.019025e+00  
##        S10.12hs_T_1         S14.12hs_T_1         S15.12hs_T_1  
##        1.289709e+00        -5.853382e-01        -6.385847e-01  
##        S17.12hs_T_1         S19.12hs_T_1          S1.12hs_T_1  
##       -2.330205e-01         9.712796e-01        -7.729089e-01  
##        S20.12hs_T_1          S2.12hs_T_1          S3.12hs_T_1  
##       -8.896752e-02         6.856113e-01         2.172914e+00  
##         S4.12hs_T_1          S5.12hs_T_1          S6.12hs_T_1  
##        8.591714e-02        -1.175070e+00        -1.188939e+00  
##         S7.12hs_T_1          S8.12hs_T_1          S9.12hs_T_1  
##        1.394584e+00        -1.605317e+00        -3.372668e-01  
##        S11.18hs_T_1         S13.18hs_T_1         S17.18hs_T_1  
##        4.913223e-01         4.190801e+00        -1.315988e+00  
##        S18.18hs_T_1         S20.18hs_T_1          S3.18hs_T_1  
##       -1.040826e+00         1.551819e+00         2.072459e+00  
##         S4.18hs_T_1          S5.18hs_T_1          S7.18hs_T_1  
##       -1.409102e-02        -1.203326e+00        -3.128948e+00  
##         S8.18hs_T_1  Est.humedad_med_T_1     Est.temp_max_T_1  
##       -1.517628e+00         6.357376e-02         6.574632e-02  
## Standard deviation of the residuals: 1.103777e-07 
## 
## $S2.min_t
## 
##   Parameters of node S2.min_t (Gaussian distribution)
## 
## Conditional density: S2.min_t | S11.max_T_2 + S12.max_T_2 + S13.max_T_2 + S14.max_T_2 + S15.max_T_2 + S16.max_T_2 + S17.max_T_2 + S18.max_T_2 + S1.max_T_2 + S20.max_T_2 + S2.max_T_2 + S3.max_T_2 + S6.max_T_2 + S7.max_T_2 + S8.max_T_2 + S10.media_T_2 + S11.media_T_2 + S12.media_T_2 + S13.media_T_2 + S14.media_T_2 + S17.media_T_2 + S18.media_T_2 + S1.media_T_2 + S20.media_T_2 + S2.media_T_2 + S3.media_T_2 + S4.media_T_2 + S5.media_T_2 + S6.media_T_2 + S7.media_T_2 + S8.media_T_2 + S9.media_T_2 + S10.min_T_2 + S11.min_T_2 + S12.min_T_2 + S13.min_T_2 + S15.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S1.min_T_2 + S20.min_T_2 + S2.min_T_2 + S3.min_T_2 + S5.min_T_2 + S6.min_T_2 + S7.min_T_2 + S8.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S11.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S19.15hs_T_2 + S1.15hs_T_2 + S20.15hs_T_2 + S2.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S9.15hs_T_2 + S10.12hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S14.12hs_T_2 + S15.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S19.12hs_T_2 + S1.12hs_T_2 + S20.12hs_T_2 + S2.12hs_T_2 + S5.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S12.18hs_T_2 + S13.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S17.18hs_T_2 + S19.18hs_T_2 + S1.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S8.18hs_T_2 + Est.temp_min_T_2 + Est.temp_max_T_2 + Est.temp_med_T_2 + S11.max_T_1 + S12.max_T_1 + S13.max_T_1 + S15.max_T_1 + S18.max_T_1 + S1.max_T_1 + S20.max_T_1 + S2.max_T_1 + S4.max_T_1 + S5.max_T_1 + S7.max_T_1 + S9.max_T_1 + S13.media_T_1 + S15.media_T_1 + S16.media_T_1 + S1.media_T_1 + S2.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S8.media_T_1 + S10.min_T_1 + S11.min_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S16.min_T_1 + S17.min_T_1 + S18.min_T_1 + S2.min_T_1 + S4.min_T_1 + S6.min_T_1 + S8.min_T_1 + S9.min_T_1 + S13.15hs_T_1 + S15.15hs_T_1 + S16.15hs_T_1 + S18.15hs_T_1 + S19.15hs_T_1 + S1.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S5.15hs_T_1 + S8.15hs_T_1 + S10.12hs_T_1 + S12.12hs_T_1 + S13.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S2.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S10.18hs_T_1 + S11.18hs_T_1 + S12.18hs_T_1 + S13.18hs_T_1 + S17.18hs_T_1 + S18.18hs_T_1 + S19.18hs_T_1 + S1.18hs_T_1 + S2.18hs_T_1 + S3.18hs_T_1 + S4.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + Est.humedad_min_T_1 + Est.humedad_med_T_1 + Est.humedad_max_T_1 + Est.temp_min_T_1 + Est.temp_max_T_1 + Est.temp_med_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2          S12.max_T_2  
##        6.482633e-01         5.038625e-01         1.455015e-01  
##         S13.max_T_2          S14.max_T_2          S15.max_T_2  
##        1.377015e+00         9.281161e-01        -4.122140e-01  
##         S16.max_T_2          S17.max_T_2          S18.max_T_2  
##        1.539215e+00         3.429756e-01        -5.812467e-01  
##          S1.max_T_2          S20.max_T_2           S2.max_T_2  
##        9.629157e-01         9.697597e-01        -4.331309e+00  
##          S3.max_T_2           S6.max_T_2           S7.max_T_2  
##        6.248313e-02        -6.805983e-01         1.055690e+00  
##          S8.max_T_2        S10.media_T_2        S11.media_T_2  
##       -7.153765e-01        -1.846331e+00        -1.001793e+01  
##       S12.media_T_2        S13.media_T_2        S14.media_T_2  
##       -6.748994e+00        -4.027973e+00         2.331017e-03  
##       S17.media_T_2        S18.media_T_2         S1.media_T_2  
##       -5.975952e+00        -3.004851e+00        -1.374539e+00  
##       S20.media_T_2         S2.media_T_2         S3.media_T_2  
##        6.828467e+00         6.516792e+00        -3.679858e+00  
##        S4.media_T_2         S5.media_T_2         S6.media_T_2  
##        9.293046e+00         9.137604e+00        -5.231522e+00  
##        S7.media_T_2         S8.media_T_2         S9.media_T_2  
##        8.400731e+00         4.353480e-02         8.093162e-02  
##         S10.min_T_2          S11.min_T_2          S12.min_T_2  
##        3.684667e+00         1.070975e-02         4.976205e-01  
##         S13.min_T_2          S15.min_T_2          S16.min_T_2  
##        4.138970e+00        -8.997690e-01         1.856754e-01  
##         S17.min_T_2          S18.min_T_2           S1.min_T_2  
##        1.725301e+00         6.490128e-02        -6.529988e-01  
##         S20.min_T_2           S2.min_T_2           S3.min_T_2  
##        1.871348e+00        -2.228989e+00        -9.617868e-02  
##          S5.min_T_2           S6.min_T_2           S7.min_T_2  
##       -1.147397e+00        -3.451971e-01        -1.164498e+00  
##          S8.min_T_2           S9.min_T_2         S10.15hs_T_2  
##        1.028445e-02        -4.927290e+00        -7.399682e-01  
##        S11.15hs_T_2         S12.15hs_T_2         S13.15hs_T_2  
##        1.261860e+00        -4.297850e-01         1.726458e+00  
##        S16.15hs_T_2         S17.15hs_T_2         S18.15hs_T_2  
##        1.557264e-03        -2.507365e+00         1.558844e+00  
##        S19.15hs_T_2          S1.15hs_T_2         S20.15hs_T_2  
##       -6.713181e-02        -1.573549e+00        -3.889265e-01  
##         S2.15hs_T_2          S4.15hs_T_2          S5.15hs_T_2  
##        2.634521e+00        -1.481579e+00        -1.293305e+00  
##         S6.15hs_T_2          S9.15hs_T_2         S10.12hs_T_2  
##        3.118092e+00        -1.792270e+00         1.011236e-02  
##        S11.12hs_T_2         S12.12hs_T_2         S14.12hs_T_2  
##        2.431061e-01         7.252988e-01        -1.407202e+00  
##        S15.12hs_T_2         S17.12hs_T_2         S18.12hs_T_2  
##       -1.043377e+00         5.401653e-01        -4.789965e-02  
##        S19.12hs_T_2          S1.12hs_T_2         S20.12hs_T_2  
##       -3.115683e-03        -7.401100e-01        -5.013027e-01  
##         S2.12hs_T_2          S5.12hs_T_2          S7.12hs_T_2  
##        6.797644e-01         2.475795e-01        -1.453054e+00  
##         S8.12hs_T_2          S9.12hs_T_2         S10.18hs_T_2  
##       -7.631302e-04         2.723560e+00        -5.330685e+00  
##        S11.18hs_T_2         S12.18hs_T_2         S13.18hs_T_2  
##       -1.431220e+00         2.080210e+00        -2.926819e-01  
##        S14.18hs_T_2         S15.18hs_T_2         S17.18hs_T_2  
##        2.950425e+00         2.733601e+00         2.260694e+00  
##        S19.18hs_T_2          S1.18hs_T_2          S2.18hs_T_2  
##        1.468029e+00         2.086988e-01        -1.709779e+00  
##         S3.18hs_T_2          S5.18hs_T_2          S6.18hs_T_2  
##       -7.066520e-01        -4.570581e+00         2.288689e+00  
##         S8.18hs_T_2     Est.temp_min_T_2     Est.temp_max_T_2  
##       -4.531518e-01        -2.985103e-01         1.431933e-02  
##    Est.temp_med_T_2          S11.max_T_1          S12.max_T_1  
##        7.262450e-01         1.788152e+00        -2.439217e-01  
##         S13.max_T_1          S15.max_T_1          S18.max_T_1  
##        5.773185e-01        -2.784865e-02         4.016552e-01  
##          S1.max_T_1          S20.max_T_1           S2.max_T_1  
##       -1.883072e+00        -1.377549e+00         8.209282e-01  
##          S4.max_T_1           S5.max_T_1           S7.max_T_1  
##        1.713966e+00        -6.248368e-01        -1.838115e-02  
##          S9.max_T_1        S13.media_T_1        S15.media_T_1  
##       -1.402888e+00        -3.114719e+00        -1.932168e+00  
##       S16.media_T_1         S1.media_T_1         S2.media_T_1  
##        4.864299e+00         1.640201e+00         5.781622e+00  
##        S3.media_T_1         S4.media_T_1         S5.media_T_1  
##       -6.130794e-01         6.487324e+00        -2.018227e+01  
##        S8.media_T_1          S10.min_T_1          S11.min_T_1  
##        8.346735e+00         4.827000e+00         4.715373e+00  
##         S12.min_T_1          S13.min_T_1          S14.min_T_1  
##        5.904899e+00         4.657049e-01        -3.693500e+00  
##         S16.min_T_1          S17.min_T_1          S18.min_T_1  
##       -4.492645e+00         1.406724e+00         5.778612e-02  
##          S2.min_T_1           S4.min_T_1           S6.min_T_1  
##       -2.812697e-01        -3.121019e+00        -1.442925e+00  
##          S8.min_T_1           S9.min_T_1         S13.15hs_T_1  
##       -4.306849e+00        -9.284577e-02         4.406781e-01  
##        S15.15hs_T_1         S16.15hs_T_1         S18.15hs_T_1  
##        9.868939e-01        -1.552205e+00         6.765229e-01  
##        S19.15hs_T_1          S1.15hs_T_1          S2.15hs_T_1  
##        6.410809e-02        -1.496420e-01        -2.205384e+00  
##         S3.15hs_T_1          S4.15hs_T_1          S5.15hs_T_1  
##        3.116710e+00        -2.774305e+00         2.368067e+00  
##         S8.15hs_T_1         S10.12hs_T_1         S12.12hs_T_1  
##       -5.563152e-01         1.058399e+00        -2.668661e-01  
##        S13.12hs_T_1         S14.12hs_T_1         S15.12hs_T_1  
##       -1.160920e+00         2.606698e+00        -1.409969e+00  
##         S1.12hs_T_1         S20.12hs_T_1          S2.12hs_T_1  
##       -5.644536e-01        -9.419116e-02        -5.413080e-02  
##         S4.12hs_T_1          S5.12hs_T_1          S6.12hs_T_1  
##        2.199345e-03         1.834266e+00        -2.401984e+00  
##         S7.12hs_T_1          S8.12hs_T_1          S9.12hs_T_1  
##        1.743606e+00        -9.440388e-01        -3.747261e-01  
##        S10.18hs_T_1         S11.18hs_T_1         S12.18hs_T_1  
##       -2.512300e-01        -1.899232e-04        -1.528885e-01  
##        S13.18hs_T_1         S17.18hs_T_1         S18.18hs_T_1  
##       -3.666922e-01         3.354491e-02        -6.985800e-01  
##        S19.18hs_T_1          S1.18hs_T_1          S2.18hs_T_1  
##        1.086932e-01         1.082309e+00        -6.829105e-01  
##         S3.18hs_T_1          S4.18hs_T_1          S5.18hs_T_1  
##       -1.937045e+00         4.737713e-01        -5.200266e-01  
##         S6.18hs_T_1          S7.18hs_T_1          S8.18hs_T_1  
##       -2.023516e-01         2.607823e+00         1.337250e-01  
## Est.humedad_min_T_1  Est.humedad_med_T_1  Est.humedad_max_T_1  
##        5.398319e-01        -1.169272e-01        -4.693922e-01  
##    Est.temp_min_T_1     Est.temp_max_T_1     Est.temp_med_T_1  
##        6.337837e+00         6.721672e+00        -1.321470e+01  
## Standard deviation of the residuals: 7.090707e-08 
## 
## $S3.min_t
## 
##   Parameters of node S3.min_t (Gaussian distribution)
## 
## Conditional density: S3.min_t | S11.max_T_2 + S13.max_T_2 + S3.max_T_2 + S12.media_T_2 + S20.media_T_2 + S3.media_T_2 + S4.media_T_2 + S6.media_T_2 + S1.min_T_2 + S2.min_T_2 + S3.min_T_2 + S8.min_T_2 + S13.15hs_T_2 + S17.15hs_T_2 + S3.15hs_T_2 + S5.15hs_T_2 + S19.12hs_T_2 + S3.12hs_T_2 + S10.18hs_T_2 + S14.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + Est.temp_min_T_2 + S2.max_T_1 + S3.max_T_1 + S13.media_T_1 + S19.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S9.media_T_1 + S12.min_T_1 + S13.min_T_1 + S3.min_T_1 + S17.15hs_T_1 + S1.15hs_T_1 + S3.15hs_T_1 + S3.12hs_T_1 + S12.18hs_T_1 + S3.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2          S13.max_T_2  
##         -9.22155198          -0.54349741           1.20033842  
##          S3.max_T_2        S12.media_T_2        S20.media_T_2  
##         -0.45952530          -5.28584717           3.61328124  
##        S3.media_T_2         S4.media_T_2         S6.media_T_2  
##         -7.47183422           1.94735806           6.91786530  
##          S1.min_T_2           S2.min_T_2           S3.min_T_2  
##         -1.04537532          -1.22325389           0.96865077  
##          S8.min_T_2         S13.15hs_T_2         S17.15hs_T_2  
##          1.46109411           0.95887664          -0.75376586  
##         S3.15hs_T_2          S5.15hs_T_2         S19.12hs_T_2  
##          1.58582923          -1.68504164          -1.00661665  
##         S3.12hs_T_2         S10.18hs_T_2         S14.18hs_T_2  
##          0.78361405          -2.12452782           1.92673271  
##         S2.18hs_T_2          S3.18hs_T_2          S4.18hs_T_2  
##          0.75291121           1.03404164          -1.46469817  
##    Est.temp_min_T_2           S2.max_T_1           S3.max_T_1  
##          0.19227288           1.08711936          -1.54483932  
##       S13.media_T_1        S19.media_T_1         S3.media_T_1  
##         -4.22514139           3.18954889           5.97002092  
##        S4.media_T_1         S5.media_T_1         S9.media_T_1  
##          4.69381028          -4.12056273          -5.52521028  
##         S12.min_T_1          S13.min_T_1           S3.min_T_1  
##          1.52611458          -0.92404551          -0.22854634  
##        S17.15hs_T_1          S1.15hs_T_1          S3.15hs_T_1  
##         -0.97420690           0.63030764           0.94121588  
##         S3.12hs_T_1         S12.18hs_T_1          S3.18hs_T_1  
##          0.12337071           1.30184733          -1.21662096  
## Est.humedad_min_T_1  
##          0.04285554  
## Standard deviation of the residuals: 1.143421 
## 
## $S4.min_t
## 
##   Parameters of node S4.min_t (Gaussian distribution)
## 
## Conditional density: S4.min_t | S11.max_T_2 + S12.max_T_2 + S14.max_T_2 + S16.max_T_2 + S17.max_T_2 + S18.max_T_2 + S20.max_T_2 + S2.max_T_2 + S3.max_T_2 + S4.max_T_2 + S5.max_T_2 + S6.max_T_2 + S11.media_T_2 + S13.media_T_2 + S14.media_T_2 + S15.media_T_2 + S17.media_T_2 + S1.media_T_2 + S20.media_T_2 + S2.media_T_2 + S3.media_T_2 + S4.media_T_2 + S7.media_T_2 + S11.min_T_2 + S12.min_T_2 + S14.min_T_2 + S16.min_T_2 + S18.min_T_2 + S19.min_T_2 + S20.min_T_2 + S2.min_T_2 + S4.min_T_2 + S5.min_T_2 + S6.min_T_2 + S7.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S15.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S19.15hs_T_2 + S3.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S7.15hs_T_2 + S8.15hs_T_2 + S10.12hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S15.12hs_T_2 + S18.12hs_T_2 + S19.12hs_T_2 + S1.12hs_T_2 + S3.12hs_T_2 + S4.12hs_T_2 + S5.12hs_T_2 + S6.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S17.18hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S8.18hs_T_2 + S9.18hs_T_2 + Est.humedad_min_T_2 + Est.humedad_med_T_2 + Est.temp_min_T_2 + S11.max_T_1 + S12.max_T_1 + S13.max_T_1 + S14.max_T_1 + S15.max_T_1 + S16.max_T_1 + S17.max_T_1 + S1.max_T_1 + S20.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S5.max_T_1 + S6.max_T_1 + S7.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S11.media_T_1 + S12.media_T_1 + S13.media_T_1 + S14.media_T_1 + S15.media_T_1 + S17.media_T_1 + S18.media_T_1 + S1.media_T_1 + S20.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S10.min_T_1 + S11.min_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S17.min_T_1 + S18.min_T_1 + S19.min_T_1 + S1.min_T_1 + S2.min_T_1 + S4.min_T_1 + S5.min_T_1 + S6.min_T_1 + S7.min_T_1 + S8.min_T_1 + S9.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S13.15hs_T_1 + S14.15hs_T_1 + S15.15hs_T_1 + S16.15hs_T_1 + S18.15hs_T_1 + S1.15hs_T_1 + S20.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S5.15hs_T_1 + S6.15hs_T_1 + S8.15hs_T_1 + S10.12hs_T_1 + S11.12hs_T_1 + S12.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S19.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S10.18hs_T_1 + S11.18hs_T_1 + S13.18hs_T_1 + S14.18hs_T_1 + S19.18hs_T_1 + S20.18hs_T_1 + S2.18hs_T_1 + S3.18hs_T_1 + S4.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + S9.18hs_T_1 + Est.temp_max_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2          S12.max_T_2  
##       -9.301462e+00         5.258590e-05        -6.707992e-02  
##         S14.max_T_2          S16.max_T_2          S17.max_T_2  
##        2.433200e+00        -1.257907e-02         7.032097e-01  
##         S18.max_T_2          S20.max_T_2           S2.max_T_2  
##        7.366219e-01        -4.140639e-01        -6.631356e-01  
##          S3.max_T_2           S4.max_T_2           S5.max_T_2  
##        1.171354e-02         1.458183e+00        -4.139439e+00  
##          S6.max_T_2        S11.media_T_2        S13.media_T_2  
##       -3.281307e-01        -8.155203e+00        -7.053176e+00  
##       S14.media_T_2        S15.media_T_2        S17.media_T_2  
##       -1.085301e+01         1.854260e+00         2.054053e+00  
##        S1.media_T_2        S20.media_T_2         S2.media_T_2  
##        8.129627e-01         1.062430e+01         3.271298e+00  
##        S3.media_T_2         S4.media_T_2         S7.media_T_2  
##        3.238195e+00         4.584271e+00         1.100259e-01  
##         S11.min_T_2          S12.min_T_2          S14.min_T_2  
##       -1.736925e+00        -1.867279e-01        -4.341436e-01  
##         S16.min_T_2          S18.min_T_2          S19.min_T_2  
##        1.619542e+00         1.114482e+00        -2.231879e+00  
##         S20.min_T_2           S2.min_T_2           S4.min_T_2  
##        5.586007e-01        -2.114532e+00         3.823277e+00  
##          S5.min_T_2           S6.min_T_2           S7.min_T_2  
##        2.729638e-01        -5.095157e-01        -3.921600e-01  
##          S9.min_T_2         S10.15hs_T_2         S12.15hs_T_2  
##        1.654750e-01         7.605477e-01         3.105500e-01  
##        S13.15hs_T_2         S14.15hs_T_2         S15.15hs_T_2  
##        4.242209e+00        -1.526027e+00        -3.153653e+00  
##        S16.15hs_T_2         S17.15hs_T_2         S18.15hs_T_2  
##        1.425300e+00        -2.398920e+00         1.501193e+00  
##        S19.15hs_T_2          S3.15hs_T_2          S4.15hs_T_2  
##        1.114666e+00        -2.646416e+00        -1.612287e-01  
##         S5.15hs_T_2          S6.15hs_T_2          S7.15hs_T_2  
##       -8.591273e-01         2.653074e+00        -6.969104e-01  
##         S8.15hs_T_2         S10.12hs_T_2         S11.12hs_T_2  
##       -4.875497e-01        -1.576444e+00        -4.922391e-01  
##        S12.12hs_T_2         S15.12hs_T_2         S18.12hs_T_2  
##       -2.686451e+00         2.292691e+00        -3.621261e+00  
##        S19.12hs_T_2          S1.12hs_T_2          S3.12hs_T_2  
##        2.288009e+00        -1.345766e+00        -3.744679e-04  
##         S4.12hs_T_2          S5.12hs_T_2          S6.12hs_T_2  
##       -1.951181e-01         2.867301e+00         9.383103e-01  
##         S7.12hs_T_2          S8.12hs_T_2          S9.12hs_T_2  
##       -1.824670e+00         1.022198e+00         2.283686e+00  
##        S10.18hs_T_2         S11.18hs_T_2         S14.18hs_T_2  
##       -4.615847e+00         1.608600e+00         4.604222e+00  
##        S15.18hs_T_2         S17.18hs_T_2         S18.18hs_T_2  
##        4.357201e-01         1.532668e+00        -1.043157e+00  
##         S1.18hs_T_2          S3.18hs_T_2          S4.18hs_T_2  
##       -1.359047e+00         2.715207e-02        -2.207564e+00  
##         S5.18hs_T_2          S6.18hs_T_2          S7.18hs_T_2  
##        8.097388e-01        -1.155788e+00         1.025309e+00  
##         S8.18hs_T_2          S9.18hs_T_2  Est.humedad_min_T_2  
##       -4.411721e-01         8.665463e-01        -2.811798e-01  
## Est.humedad_med_T_2     Est.temp_min_T_2          S11.max_T_1  
##        3.186539e-01         1.193324e-01        -1.221886e-01  
##         S12.max_T_1          S13.max_T_1          S14.max_T_1  
##        2.320593e-01        -9.385541e-01         1.360939e+00  
##         S15.max_T_1          S16.max_T_1          S17.max_T_1  
##       -6.932825e-01         8.301454e-02        -3.430368e-01  
##          S1.max_T_1          S20.max_T_1           S2.max_T_1  
##        5.296785e-02         9.121375e-01         1.533989e-01  
##          S3.max_T_1           S4.max_T_1           S5.max_T_1  
##       -2.230328e+00        -6.584605e-01         9.427425e-01  
##          S6.max_T_1           S7.max_T_1           S8.max_T_1  
##       -3.290661e-03         4.401443e-03         2.186298e+00  
##          S9.max_T_1        S10.media_T_1        S11.media_T_1  
##       -2.185792e+00         7.523757e+00         4.435446e-03  
##       S12.media_T_1        S13.media_T_1        S14.media_T_1  
##        7.251967e+00         1.027455e+00         1.886405e+00  
##       S15.media_T_1        S17.media_T_1        S18.media_T_1  
##        1.315312e+00        -2.403056e+00        -4.627782e+00  
##        S1.media_T_1        S20.media_T_1         S3.media_T_1  
##        7.505744e+00        -7.221660e+00        -2.635062e-01  
##        S4.media_T_1         S5.media_T_1         S6.media_T_1  
##        8.021960e+00        -1.951105e+01         1.276176e+00  
##        S7.media_T_1         S8.media_T_1         S9.media_T_1  
##       -4.736273e+00         1.424612e+00         9.162676e-01  
##         S10.min_T_1          S11.min_T_1          S12.min_T_1  
##        1.613969e+00         9.054074e-01         2.262794e+00  
##         S13.min_T_1          S14.min_T_1          S17.min_T_1  
##       -5.652836e-01        -5.222865e+00        -1.373329e+00  
##         S18.min_T_1          S19.min_T_1           S1.min_T_1  
##        1.344784e-01         3.028691e+00        -1.808742e+00  
##          S2.min_T_1           S4.min_T_1           S5.min_T_1  
##        8.801447e-01        -1.461550e+00        -1.514839e+00  
##          S6.min_T_1           S7.min_T_1           S8.min_T_1  
##        4.702599e+00        -1.309372e+00         9.671634e-01  
##          S9.min_T_1         S10.15hs_T_1         S11.15hs_T_1  
##       -6.411163e-01        -3.928263e+00        -1.046188e+00  
##        S13.15hs_T_1         S14.15hs_T_1         S15.15hs_T_1  
##       -4.330518e-01         2.376173e+00        -7.294882e-01  
##        S16.15hs_T_1         S18.15hs_T_1          S1.15hs_T_1  
##       -2.998933e-01         6.929277e-02         1.531966e+00  
##        S20.15hs_T_1          S2.15hs_T_1          S3.15hs_T_1  
##        1.303411e+00        -4.787153e+00         3.048927e+00  
##         S4.15hs_T_1          S5.15hs_T_1          S6.15hs_T_1  
##       -2.608811e-01        -2.311001e-01         2.041695e+00  
##         S8.15hs_T_1         S10.12hs_T_1         S11.12hs_T_1  
##        2.373093e+00         7.973831e-01         1.205446e+00  
##        S12.12hs_T_1         S14.12hs_T_1         S15.12hs_T_1  
##       -1.663329e+00        -1.924443e-01         1.044457e-01  
##        S19.12hs_T_1          S1.12hs_T_1         S20.12hs_T_1  
##        1.214872e+00        -2.387994e+00         2.627425e+00  
##         S4.12hs_T_1          S5.12hs_T_1          S6.12hs_T_1  
##       -6.058827e-01         3.175972e+00        -1.874583e+00  
##         S7.12hs_T_1          S8.12hs_T_1          S9.12hs_T_1  
##        1.289984e+00        -2.624140e+00        -4.525260e-02  
##        S10.18hs_T_1         S11.18hs_T_1         S13.18hs_T_1  
##       -6.230916e-01        -1.642740e+00         1.846625e+00  
##        S14.18hs_T_1         S19.18hs_T_1         S20.18hs_T_1  
##       -2.535348e+00        -3.077900e-01         2.538166e+00  
##         S2.18hs_T_1          S3.18hs_T_1          S4.18hs_T_1  
##       -1.647833e+00        -5.525313e-03         1.910992e+00  
##         S5.18hs_T_1          S6.18hs_T_1          S7.18hs_T_1  
##        6.545324e-01         2.559227e+00        -8.902478e-01  
##         S8.18hs_T_1          S9.18hs_T_1     Est.temp_max_T_1  
##       -8.750729e-01        -9.250585e-01        -5.706507e-02  
## Standard deviation of the residuals: 1.218142e-07 
## 
## $S5.min_t
## 
##   Parameters of node S5.min_t (Gaussian distribution)
## 
## Conditional density: S5.min_t | S10.max_T_2 + S16.max_T_2 + S18.max_T_2 + S20.max_T_2 + S3.max_T_2 + S5.max_T_2 + S12.media_T_2 + S18.media_T_2 + S4.media_T_2 + S5.media_T_2 + S8.media_T_2 + S12.min_T_2 + S16.min_T_2 + S5.min_T_2 + S13.15hs_T_2 + S17.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S1.12hs_T_2 + S5.12hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S5.18hs_T_2 + S9.18hs_T_2 + S13.max_T_1 + S2.max_T_1 + S5.max_T_1 + S9.max_T_1 + S5.media_T_1 + S8.media_T_1 + S9.media_T_1 + S12.min_T_1 + S14.min_T_1 + S5.min_T_1 + S6.min_T_1 + S8.min_T_1 + S5.15hs_T_1 + S12.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S8.12hs_T_1 + S5.18hs_T_1 + Est.humedad_min_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S16.max_T_2  
##         -5.61548536          -0.85986451           0.78289588  
##         S18.max_T_2          S20.max_T_2           S3.max_T_2  
##          0.62544095           0.85582397          -0.56256779  
##          S5.max_T_2        S12.media_T_2        S18.media_T_2  
##         -0.80985568          -4.90400044          -5.20300547  
##        S4.media_T_2         S5.media_T_2         S8.media_T_2  
##          6.19293263          -0.14913885           3.88599397  
##         S12.min_T_2          S16.min_T_2           S5.min_T_2  
##          2.11928351          -2.18258276           0.26947278  
##        S13.15hs_T_2         S17.15hs_T_2          S5.15hs_T_2  
##          1.49646998          -0.94002692          -1.99701888  
##         S6.15hs_T_2          S1.12hs_T_2          S5.12hs_T_2  
##          1.53040177          -0.63191414           0.62081867  
##        S14.18hs_T_2         S15.18hs_T_2          S5.18hs_T_2  
##          2.05990861           0.74209215          -0.87743149  
##         S9.18hs_T_2          S13.max_T_1           S2.max_T_1  
##         -1.80150407          -0.62729459           1.41277173  
##          S5.max_T_1           S9.max_T_1         S5.media_T_1  
##          0.06059778          -0.85942508          -1.34131432  
##        S8.media_T_1         S9.media_T_1          S12.min_T_1  
##          5.30925417          -3.98521772           1.46897087  
##         S14.min_T_1           S5.min_T_1           S6.min_T_1  
##         -1.16440181          -1.31438762           1.96932060  
##          S8.min_T_1          S5.15hs_T_1         S12.12hs_T_1  
##         -0.65630161           0.43318705          -0.55105601  
##         S4.12hs_T_1          S5.12hs_T_1          S8.12hs_T_1  
##          1.36455152          -0.31947808          -0.50793060  
##         S5.18hs_T_1  Est.humedad_min_T_1     Est.temp_min_T_1  
##         -0.02713827           0.03913640           0.09122811  
## Standard deviation of the residuals: 1.126593 
## 
## $S6.min_t
## 
##   Parameters of node S6.min_t (Gaussian distribution)
## 
## Conditional density: S6.min_t | S10.max_T_2 + S11.max_T_2 + S12.max_T_2 + S13.max_T_2 + S14.max_T_2 + S16.max_T_2 + S17.max_T_2 + S19.max_T_2 + S1.max_T_2 + S20.max_T_2 + S2.max_T_2 + S5.max_T_2 + S6.max_T_2 + S7.max_T_2 + S9.max_T_2 + S12.media_T_2 + S13.media_T_2 + S16.media_T_2 + S17.media_T_2 + S18.media_T_2 + S20.media_T_2 + S2.media_T_2 + S4.media_T_2 + S5.media_T_2 + S6.media_T_2 + S7.media_T_2 + S8.media_T_2 + S9.media_T_2 + S10.min_T_2 + S11.min_T_2 + S13.min_T_2 + S14.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S1.min_T_2 + S2.min_T_2 + S4.min_T_2 + S5.min_T_2 + S6.min_T_2 + S7.min_T_2 + S8.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S11.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S19.15hs_T_2 + S20.15hs_T_2 + S2.15hs_T_2 + S3.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S8.15hs_T_2 + S10.12hs_T_2 + S13.12hs_T_2 + S14.12hs_T_2 + S16.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S1.12hs_T_2 + S20.12hs_T_2 + S2.12hs_T_2 + S3.12hs_T_2 + S5.12hs_T_2 + S6.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S12.18hs_T_2 + S13.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S17.18hs_T_2 + S1.18hs_T_2 + S20.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S8.18hs_T_2 + S9.18hs_T_2 + Est.humedad_min_T_2 + Est.humedad_med_T_2 + Est.humedad_max_T_2 + S10.max_T_1 + S11.max_T_1 + S12.max_T_1 + S13.max_T_1 + S14.max_T_1 + S15.max_T_1 + S16.max_T_1 + S17.max_T_1 + S19.max_T_1 + S20.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S5.max_T_1 + S6.max_T_1 + S7.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S11.media_T_1 + S15.media_T_1 + S18.media_T_1 + S1.media_T_1 + S20.media_T_1 + S2.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S12.min_T_1 + S13.min_T_1 + S15.min_T_1 + S16.min_T_1 + S18.min_T_1 + S19.min_T_1 + S1.min_T_1 + S20.min_T_1 + S2.min_T_1 + S3.min_T_1 + S4.min_T_1 + S5.min_T_1 + S6.min_T_1 + S7.min_T_1 + S8.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S14.15hs_T_1 + S16.15hs_T_1 + S19.15hs_T_1 + S20.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S5.15hs_T_1 + S6.15hs_T_1 + S10.12hs_T_1 + S12.12hs_T_1 + S17.12hs_T_1 + S18.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S2.12hs_T_1 + S3.12hs_T_1 + S4.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S11.18hs_T_1 + S14.18hs_T_1 + S19.18hs_T_1 + S1.18hs_T_1 + S20.18hs_T_1 + S2.18hs_T_1 + S3.18hs_T_1 + S4.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + Est.humedad_min_T_1 + Est.humedad_med_T_1 + Est.temp_min_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##        -3.043949120         -0.618635152          0.771292532  
##         S12.max_T_2          S13.max_T_2          S14.max_T_2  
##        -0.112374129         -0.126123896          1.371968543  
##         S16.max_T_2          S17.max_T_2          S19.max_T_2  
##         1.308827080         -1.206082903         -0.606453808  
##          S1.max_T_2          S20.max_T_2           S2.max_T_2  
##         0.339204507          0.881247908         -1.814115952  
##          S5.max_T_2           S6.max_T_2           S7.max_T_2  
##        -1.724168213          0.586165791          1.478118752  
##          S9.max_T_2        S12.media_T_2        S13.media_T_2  
##         0.712013919          0.834965773         -3.281783518  
##       S16.media_T_2        S17.media_T_2        S18.media_T_2  
##        -4.735877680         -1.600615170         -8.877691165  
##       S20.media_T_2         S2.media_T_2         S4.media_T_2  
##        -0.002221312         -0.322480785          7.944833318  
##        S5.media_T_2         S6.media_T_2         S7.media_T_2  
##         9.508614200         -0.840902276         -0.578040241  
##        S8.media_T_2         S9.media_T_2          S10.min_T_2  
##        -0.011536355          0.686242283         -2.095923425  
##         S11.min_T_2          S13.min_T_2          S14.min_T_2  
##        -0.652800416          1.450118987          1.872688282  
##         S16.min_T_2          S17.min_T_2          S18.min_T_2  
##        -0.895530136          0.918080363         -0.287770891  
##          S1.min_T_2           S2.min_T_2           S4.min_T_2  
##        -0.450206869         -2.620723793          2.272743926  
##          S5.min_T_2           S6.min_T_2           S7.min_T_2  
##         2.414892592          1.302703890          0.537190863  
##          S8.min_T_2           S9.min_T_2         S10.15hs_T_2  
##         0.267525981         -3.233503009          0.157006544  
##        S11.15hs_T_2         S12.15hs_T_2         S13.15hs_T_2  
##         0.303960251         -2.401453560          4.387889791  
##        S14.15hs_T_2         S17.15hs_T_2         S18.15hs_T_2  
##        -2.101659158         -0.990427851          3.812597922  
##        S19.15hs_T_2         S20.15hs_T_2          S2.15hs_T_2  
##         0.968399100         -2.181818222          2.816476402  
##         S3.15hs_T_2          S4.15hs_T_2          S5.15hs_T_2  
##         0.120964503          0.375811148         -6.573699894  
##         S6.15hs_T_2          S8.15hs_T_2         S10.12hs_T_2  
##         2.383579898         -1.544560686         -1.425100232  
##        S13.12hs_T_2         S14.12hs_T_2         S16.12hs_T_2  
##        -1.118048289         -1.161019066          1.158602693  
##        S17.12hs_T_2         S18.12hs_T_2          S1.12hs_T_2  
##         0.091246253          0.385616530         -0.760513821  
##        S20.12hs_T_2          S2.12hs_T_2          S3.12hs_T_2  
##        -2.255363497         -1.561223315          0.264613296  
##         S5.12hs_T_2          S6.12hs_T_2          S7.12hs_T_2  
##         2.639964274          0.109903445         -1.166274773  
##         S8.12hs_T_2          S9.12hs_T_2         S10.18hs_T_2  
##         3.585595340          1.130580103         -2.484141393  
##        S12.18hs_T_2         S13.18hs_T_2         S14.18hs_T_2  
##         2.060035321         -3.875650929          3.980627865  
##        S15.18hs_T_2         S17.18hs_T_2          S1.18hs_T_2  
##         1.359342882          0.475381671         -1.173146488  
##        S20.18hs_T_2          S2.18hs_T_2          S3.18hs_T_2  
##         3.480609774          0.630430642          0.285957120  
##         S4.18hs_T_2          S5.18hs_T_2          S6.18hs_T_2  
##        -1.930010304         -0.054911772          0.319648270  
##         S7.18hs_T_2          S8.18hs_T_2          S9.18hs_T_2  
##        -1.702456802         -0.044650802         -1.379387192  
## Est.humedad_min_T_2  Est.humedad_med_T_2  Est.humedad_max_T_2  
##        -0.001273634         -0.472998732          0.488045883  
##         S10.max_T_1          S11.max_T_1          S12.max_T_1  
##         0.385814186          1.719994968         -0.921960942  
##         S13.max_T_1          S14.max_T_1          S15.max_T_1  
##         0.820345545          2.554878485         -1.485897898  
##         S16.max_T_1          S17.max_T_1          S19.max_T_1  
##         0.012237684         -1.270390729         -1.459955593  
##         S20.max_T_1           S2.max_T_1           S3.max_T_1  
##         0.265757204          0.131420069         -0.915380082  
##          S4.max_T_1           S5.max_T_1           S6.max_T_1  
##         0.181483707         -0.656551379         -0.520678362  
##          S7.max_T_1           S8.max_T_1           S9.max_T_1  
##         0.477774083          2.766108458         -1.723915774  
##       S10.media_T_1        S11.media_T_1        S15.media_T_1  
##        -1.093647197         -2.466184060          0.048752764  
##       S18.media_T_1         S1.media_T_1        S20.media_T_1  
##         3.228586183          9.440279610         -2.099565158  
##        S2.media_T_1         S3.media_T_1         S4.media_T_1  
##         3.595030966          6.709339766          3.674838382  
##        S5.media_T_1         S6.media_T_1         S7.media_T_1  
##       -12.136997009         -5.050129174         -3.605049692  
##        S8.media_T_1          S12.min_T_1          S13.min_T_1  
##        -0.079446433          2.709469205          4.613281353  
##         S15.min_T_1          S16.min_T_1          S18.min_T_1  
##        -0.742086819         -1.271933899         -1.846910377  
##         S19.min_T_1           S1.min_T_1          S20.min_T_1  
##         0.050165870          1.309667230          1.172825723  
##          S2.min_T_1           S3.min_T_1           S4.min_T_1  
##        -2.954403247          0.787334127         -0.166288013  
##          S5.min_T_1           S6.min_T_1           S7.min_T_1  
##        -1.715708615         -0.900873800          0.767020487  
##          S8.min_T_1         S10.15hs_T_1         S11.15hs_T_1  
##        -1.067269449         -1.531468136         -2.926558414  
##        S14.15hs_T_1         S16.15hs_T_1         S19.15hs_T_1  
##        -0.477550099         -0.014445017          0.212008308  
##        S20.15hs_T_1          S2.15hs_T_1          S3.15hs_T_1  
##         2.486687787         -1.945867799          1.311777952  
##         S4.15hs_T_1          S5.15hs_T_1          S6.15hs_T_1  
##        -2.069163765          3.294579569          2.091534212  
##        S10.12hs_T_1         S12.12hs_T_1         S17.12hs_T_1  
##         2.006239754         -1.804304797         -0.389909382  
##        S18.12hs_T_1          S1.12hs_T_1         S20.12hs_T_1  
##         0.006144064         -0.355712731          0.038034800  
##         S2.12hs_T_1          S3.12hs_T_1          S4.12hs_T_1  
##         0.921305997         -0.138209895          0.657576269  
##         S6.12hs_T_1          S7.12hs_T_1          S8.12hs_T_1  
##        -1.527023719          2.576724066         -2.216048222  
##        S11.18hs_T_1         S14.18hs_T_1         S19.18hs_T_1  
##         1.546645821         -1.210413725          0.518834393  
##         S1.18hs_T_1         S20.18hs_T_1          S2.18hs_T_1  
##        -4.864667919         -0.149005159         -0.532082194  
##         S3.18hs_T_1          S4.18hs_T_1          S5.18hs_T_1  
##        -0.506191011          1.533093703          0.263080079  
##         S6.18hs_T_1          S7.18hs_T_1          S8.18hs_T_1  
##         1.833597273         -0.689146668          1.637605253  
## Est.humedad_min_T_1  Est.humedad_med_T_1     Est.temp_min_T_1  
##         0.962968396         -0.936943187          0.002617881  
## Standard deviation of the residuals: 7.812063e-08 
## 
## $S7.min_t
## 
##   Parameters of node S7.min_t (Gaussian distribution)
## 
## Conditional density: S7.min_t | S11.max_T_2 + S14.max_T_2 + S20.max_T_2 + S7.max_T_2 + S10.media_T_2 + S12.media_T_2 + S17.media_T_2 + S6.media_T_2 + S7.media_T_2 + S7.min_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S17.15hs_T_2 + S5.15hs_T_2 + S7.15hs_T_2 + S4.12hs_T_2 + S7.12hs_T_2 + S12.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S1.18hs_T_2 + S7.18hs_T_2 + Est.temp_min_T_2 + S13.max_T_1 + S2.max_T_1 + S3.max_T_1 + S7.max_T_1 + S13.media_T_1 + S3.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S7.min_T_1 + S12.15hs_T_1 + S3.15hs_T_1 + S7.15hs_T_1 + S2.12hs_T_1 + S4.12hs_T_1 + S7.12hs_T_1 + S12.18hs_T_1 + S7.18hs_T_1 + Est.humedad_min_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2          S14.max_T_2  
##        -10.47693896          -0.87853852           0.75055909  
##         S20.max_T_2           S7.max_T_2        S10.media_T_2  
##          1.07709188          -0.81980760          -4.60891612  
##       S12.media_T_2        S17.media_T_2         S6.media_T_2  
##         -3.46467112          -2.55046769           3.56055965  
##        S7.media_T_2           S7.min_T_2         S12.15hs_T_2  
##          6.88762898           0.09362714          -0.71996245  
##        S13.15hs_T_2         S17.15hs_T_2          S5.15hs_T_2  
##          2.33793098          -0.58266236          -1.26576273  
##         S7.15hs_T_2          S4.12hs_T_2          S7.12hs_T_2  
##          0.16348350           0.58231198          -0.68021978  
##        S12.18hs_T_2         S14.18hs_T_2         S15.18hs_T_2  
##          0.77119797           1.01087313           0.75841967  
##         S1.18hs_T_2          S7.18hs_T_2     Est.temp_min_T_2  
##         -1.43665924          -0.92916993           0.22022633  
##         S13.max_T_1           S2.max_T_1           S3.max_T_1  
##         -1.03042572           1.54173365          -1.18335248  
##          S7.max_T_1        S13.media_T_1         S3.media_T_1  
##          0.47519073          -2.87170410           2.87569808  
##        S7.media_T_1         S8.media_T_1         S9.media_T_1  
##         -0.11395687           4.66941147          -4.46179782  
##          S7.min_T_1         S12.15hs_T_1          S3.15hs_T_1  
##          0.27725828          -1.13171304           0.89320284  
##         S7.15hs_T_1          S2.12hs_T_1          S4.12hs_T_1  
##          0.51781438          -1.10774235           1.30177791  
##         S7.12hs_T_1         S12.18hs_T_1          S7.18hs_T_1  
##         -0.08329833           1.15892460          -1.01383911  
## Est.humedad_min_T_1  
##          0.05840135  
## Standard deviation of the residuals: 1.231158 
## 
## $S8.min_t
## 
##   Parameters of node S8.min_t (Gaussian distribution)
## 
## Conditional density: S8.min_t | S11.max_T_2 + S13.max_T_2 + S14.max_T_2 + S15.max_T_2 + S16.max_T_2 + S1.max_T_2 + S20.max_T_2 + S2.max_T_2 + S3.max_T_2 + S5.max_T_2 + S6.max_T_2 + S7.max_T_2 + S8.max_T_2 + S9.max_T_2 + S10.media_T_2 + S11.media_T_2 + S13.media_T_2 + S14.media_T_2 + S15.media_T_2 + S16.media_T_2 + S17.media_T_2 + S19.media_T_2 + S20.media_T_2 + S2.media_T_2 + S3.media_T_2 + S4.media_T_2 + S5.media_T_2 + S6.media_T_2 + S7.media_T_2 + S8.media_T_2 + S9.media_T_2 + S12.min_T_2 + S14.min_T_2 + S16.min_T_2 + S18.min_T_2 + S19.min_T_2 + S1.min_T_2 + S20.min_T_2 + S2.min_T_2 + S3.min_T_2 + S4.min_T_2 + S5.min_T_2 + S6.min_T_2 + S8.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S11.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S14.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S19.15hs_T_2 + S20.15hs_T_2 + S2.15hs_T_2 + S4.15hs_T_2 + S5.15hs_T_2 + S6.15hs_T_2 + S7.15hs_T_2 + S8.15hs_T_2 + S9.15hs_T_2 + S10.12hs_T_2 + S12.12hs_T_2 + S13.12hs_T_2 + S14.12hs_T_2 + S15.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S20.12hs_T_2 + S3.12hs_T_2 + S5.12hs_T_2 + S6.12hs_T_2 + S7.12hs_T_2 + S8.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S11.18hs_T_2 + S12.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S16.18hs_T_2 + S18.18hs_T_2 + S1.18hs_T_2 + S20.18hs_T_2 + S2.18hs_T_2 + S3.18hs_T_2 + S4.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S8.18hs_T_2 + S9.18hs_T_2 + Est.temp_max_T_2 + S12.max_T_1 + S14.max_T_1 + S15.max_T_1 + S17.max_T_1 + S18.max_T_1 + S1.max_T_1 + S2.max_T_1 + S3.max_T_1 + S4.max_T_1 + S6.max_T_1 + S7.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S11.media_T_1 + S13.media_T_1 + S14.media_T_1 + S15.media_T_1 + S16.media_T_1 + S17.media_T_1 + S19.media_T_1 + S20.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S10.min_T_1 + S11.min_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S15.min_T_1 + S16.min_T_1 + S17.min_T_1 + S18.min_T_1 + S19.min_T_1 + S1.min_T_1 + S3.min_T_1 + S8.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S12.15hs_T_1 + S13.15hs_T_1 + S14.15hs_T_1 + S15.15hs_T_1 + S1.15hs_T_1 + S20.15hs_T_1 + S2.15hs_T_1 + S3.15hs_T_1 + S7.15hs_T_1 + S8.15hs_T_1 + S9.15hs_T_1 + S10.12hs_T_1 + S11.12hs_T_1 + S12.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S16.12hs_T_1 + S19.12hs_T_1 + S20.12hs_T_1 + S3.12hs_T_1 + S4.12hs_T_1 + S5.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S10.18hs_T_1 + S12.18hs_T_1 + S16.18hs_T_1 + S17.18hs_T_1 + S19.18hs_T_1 + S20.18hs_T_1 + S2.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + S9.18hs_T_1 + Est.humedad_med_T_1 + Est.humedad_max_T_1
## Coefficients:
##         (Intercept)          S11.max_T_2          S13.max_T_2  
##       -5.899488e+00         1.609729e+00        -9.798895e-01  
##         S14.max_T_2          S15.max_T_2          S16.max_T_2  
##        2.223232e+00        -7.042629e-01         6.267880e-01  
##          S1.max_T_2          S20.max_T_2           S2.max_T_2  
##        1.000549e-02         4.838020e-01        -2.180788e+00  
##          S3.max_T_2           S5.max_T_2           S6.max_T_2  
##        2.817616e-01        -1.959845e+00        -4.362590e-01  
##          S7.max_T_2           S8.max_T_2           S9.max_T_2  
##        7.636357e-01         2.235428e-01         8.326056e-02  
##       S10.media_T_2        S11.media_T_2        S13.media_T_2  
##       -3.495246e+00         7.312998e-02        -2.301037e+00  
##       S14.media_T_2        S15.media_T_2        S16.media_T_2  
##       -2.740044e+00        -2.934794e+00         3.053468e+00  
##       S17.media_T_2        S19.media_T_2        S20.media_T_2  
##        8.101288e-01        -4.010911e+00        -1.301619e+00  
##        S2.media_T_2         S3.media_T_2         S4.media_T_2  
##        5.420250e-01         1.271415e+00         1.532663e+00  
##        S5.media_T_2         S6.media_T_2         S7.media_T_2  
##       -6.740137e+00        -1.916575e+00         1.069929e+01  
##        S8.media_T_2         S9.media_T_2          S12.min_T_2  
##        3.211753e+00         3.897724e+00         2.292271e-01  
##         S14.min_T_2          S16.min_T_2          S18.min_T_2  
##       -1.673962e-01         1.338720e+00         9.691806e-02  
##         S19.min_T_2           S1.min_T_2          S20.min_T_2  
##       -1.236143e+00         3.968511e-01        -1.330587e+00  
##          S2.min_T_2           S3.min_T_2           S4.min_T_2  
##       -3.862183e-01        -4.547137e-01         4.168046e+00  
##          S5.min_T_2           S6.min_T_2           S8.min_T_2  
##        6.727752e-01         1.783600e+00        -1.885829e+00  
##          S9.min_T_2         S10.15hs_T_2         S11.15hs_T_2  
##       -2.876709e+00        -2.041998e-01         3.151387e-01  
##        S12.15hs_T_2         S13.15hs_T_2         S14.15hs_T_2  
##       -3.467190e+00         4.820284e+00        -3.465732e+00  
##        S17.15hs_T_2         S18.15hs_T_2         S19.15hs_T_2  
##       -2.331526e+00         3.494137e+00         4.233272e-02  
##        S20.15hs_T_2          S2.15hs_T_2          S4.15hs_T_2  
##        1.059354e-04         2.821655e+00         7.920470e-01  
##         S5.15hs_T_2          S6.15hs_T_2          S7.15hs_T_2  
##        5.653660e-03         8.846673e-01        -1.513216e-01  
##         S8.15hs_T_2          S9.15hs_T_2         S10.12hs_T_2  
##       -2.961881e+00        -1.177791e-01        -1.847576e+00  
##        S12.12hs_T_2         S13.12hs_T_2         S14.12hs_T_2  
##       -1.455191e+00        -3.158866e+00        -2.740434e-01  
##        S15.12hs_T_2         S17.12hs_T_2         S18.12hs_T_2  
##        3.722258e+00         2.334491e-01        -7.638806e-01  
##        S20.12hs_T_2          S3.12hs_T_2          S5.12hs_T_2  
##       -5.087867e-03        -3.110735e-01         2.756797e+00  
##         S6.12hs_T_2          S7.12hs_T_2          S8.12hs_T_2  
##       -5.298543e-01        -1.264709e+00         1.576397e+00  
##         S9.12hs_T_2         S10.18hs_T_2         S11.18hs_T_2  
##        7.370516e-01        -1.590006e+00        -4.168134e+00  
##        S12.18hs_T_2         S14.18hs_T_2         S15.18hs_T_2  
##        2.145002e+00         2.091566e+00         4.089653e+00  
##        S16.18hs_T_2         S18.18hs_T_2          S1.18hs_T_2  
##       -1.687392e+00        -2.634843e+00        -2.131819e+00  
##        S20.18hs_T_2          S2.18hs_T_2          S3.18hs_T_2  
##        1.026327e+00         2.645759e+00        -1.865027e+00  
##         S4.18hs_T_2          S5.18hs_T_2          S6.18hs_T_2  
##       -2.044329e+00        -5.319535e-01         3.545236e+00  
##         S7.18hs_T_2          S8.18hs_T_2          S9.18hs_T_2  
##       -3.848331e-02         3.750887e-01         6.038710e-01  
##    Est.temp_max_T_2          S12.max_T_1          S14.max_T_1  
##        2.685658e-01        -1.143630e+00         6.902709e-01  
##         S15.max_T_1          S17.max_T_1          S18.max_T_1  
##       -2.022569e+00        -7.918426e-01         1.289433e+00  
##          S1.max_T_1           S2.max_T_1           S3.max_T_1  
##       -2.073991e+00         7.479526e-01        -1.731269e+00  
##          S4.max_T_1           S6.max_T_1           S7.max_T_1  
##        1.589548e+00        -1.724157e+00         9.170479e-01  
##          S8.max_T_1           S9.max_T_1        S10.media_T_1  
##        3.511943e+00         3.507197e-01         8.986324e+00  
##       S11.media_T_1        S13.media_T_1        S14.media_T_1  
##        2.717967e+00        -3.104687e-01        -7.373177e-03  
##       S15.media_T_1        S16.media_T_1        S17.media_T_1  
##       -1.297410e-01        -2.209819e+00         3.663587e+00  
##       S19.media_T_1        S20.media_T_1         S3.media_T_1  
##        1.893530e-02        -6.515595e+00         3.701314e+00  
##        S4.media_T_1         S5.media_T_1         S6.media_T_1  
##       -1.100366e+00        -1.017200e+01         8.489418e+00  
##        S7.media_T_1         S8.media_T_1         S9.media_T_1  
##       -1.276452e+01         1.013972e+01        -3.034528e+00  
##         S10.min_T_1          S11.min_T_1          S12.min_T_1  
##       -5.209775e-01         3.573456e-01         4.637091e+00  
##         S13.min_T_1          S14.min_T_1          S15.min_T_1  
##        5.717247e-01        -2.378973e+00        -9.378207e-02  
##         S16.min_T_1          S17.min_T_1          S18.min_T_1  
##       -3.525162e+00         1.024509e+00         1.375091e+00  
##         S19.min_T_1           S1.min_T_1           S3.min_T_1  
##       -2.063241e+00         9.836706e-01        -1.854240e-02  
##          S8.min_T_1         S10.15hs_T_1         S11.15hs_T_1  
##       -3.058271e-01        -5.710242e+00         1.337601e-01  
##        S12.15hs_T_1         S13.15hs_T_1         S14.15hs_T_1  
##        1.838174e+00        -1.668685e+00        -4.544227e-01  
##        S15.15hs_T_1          S1.15hs_T_1         S20.15hs_T_1  
##        5.699164e-01         8.341328e-01         1.240834e+00  
##         S2.15hs_T_1          S3.15hs_T_1          S7.15hs_T_1  
##       -7.349919e-01         1.635526e+00         2.172570e+00  
##         S8.15hs_T_1          S9.15hs_T_1         S10.12hs_T_1  
##        8.840837e-01        -2.067009e-01         1.070872e+00  
##        S11.12hs_T_1         S12.12hs_T_1         S14.12hs_T_1  
##       -1.652270e+00        -1.601414e+00         2.741574e-01  
##        S15.12hs_T_1         S16.12hs_T_1         S19.12hs_T_1  
##        1.058090e-02        -5.091448e-01         2.229486e+00  
##        S20.12hs_T_1          S3.12hs_T_1          S4.12hs_T_1  
##        8.768571e-01         3.512549e-01        -5.367474e-01  
##         S5.12hs_T_1          S6.12hs_T_1          S7.12hs_T_1  
##        2.416697e+00        -1.068102e+00         1.988868e+00  
##         S8.12hs_T_1         S10.18hs_T_1         S12.18hs_T_1  
##       -3.914418e+00        -7.062248e-01         4.108259e+00  
##        S16.18hs_T_1         S17.18hs_T_1         S19.18hs_T_1  
##        2.039671e+00        -3.135132e+00        -3.130198e-01  
##        S20.18hs_T_1          S2.18hs_T_1          S5.18hs_T_1  
##        8.650625e-01        -1.076170e-01        -9.278231e-01  
##         S6.18hs_T_1          S7.18hs_T_1          S8.18hs_T_1  
##        9.236875e-01        -4.857458e-01        -2.415164e+00  
##         S9.18hs_T_1  Est.humedad_med_T_1  Est.humedad_max_T_1  
##       -3.868341e-01         3.546928e-01        -3.384848e-01  
## Standard deviation of the residuals: 1.921144e-07 
## 
## $S9.min_t
## 
##   Parameters of node S9.min_t (Gaussian distribution)
## 
## Conditional density: S9.min_t | S10.max_T_2 + S11.max_T_2 + S13.max_T_2 + S14.max_T_2 + S15.max_T_2 + S17.max_T_2 + S19.max_T_2 + S20.max_T_2 + S2.max_T_2 + S5.max_T_2 + S6.max_T_2 + S8.max_T_2 + S9.max_T_2 + S10.media_T_2 + S11.media_T_2 + S12.media_T_2 + S13.media_T_2 + S17.media_T_2 + S18.media_T_2 + S19.media_T_2 + S4.media_T_2 + S6.media_T_2 + S7.media_T_2 + S8.media_T_2 + S9.media_T_2 + S10.min_T_2 + S11.min_T_2 + S12.min_T_2 + S14.min_T_2 + S15.min_T_2 + S16.min_T_2 + S17.min_T_2 + S18.min_T_2 + S19.min_T_2 + S1.min_T_2 + S20.min_T_2 + S3.min_T_2 + S5.min_T_2 + S6.min_T_2 + S7.min_T_2 + S9.min_T_2 + S10.15hs_T_2 + S11.15hs_T_2 + S12.15hs_T_2 + S13.15hs_T_2 + S16.15hs_T_2 + S17.15hs_T_2 + S18.15hs_T_2 + S1.15hs_T_2 + S20.15hs_T_2 + S2.15hs_T_2 + S4.15hs_T_2 + S6.15hs_T_2 + S9.15hs_T_2 + S11.12hs_T_2 + S12.12hs_T_2 + S16.12hs_T_2 + S17.12hs_T_2 + S18.12hs_T_2 + S19.12hs_T_2 + S1.12hs_T_2 + S20.12hs_T_2 + S2.12hs_T_2 + S3.12hs_T_2 + S4.12hs_T_2 + S5.12hs_T_2 + S7.12hs_T_2 + S9.12hs_T_2 + S10.18hs_T_2 + S12.18hs_T_2 + S13.18hs_T_2 + S14.18hs_T_2 + S15.18hs_T_2 + S17.18hs_T_2 + S18.18hs_T_2 + S19.18hs_T_2 + S1.18hs_T_2 + S20.18hs_T_2 + S3.18hs_T_2 + S5.18hs_T_2 + S6.18hs_T_2 + S7.18hs_T_2 + S9.18hs_T_2 + Est.humedad_min_T_2 + Est.temp_min_T_2 + Est.temp_max_T_2 + S11.max_T_1 + S12.max_T_1 + S13.max_T_1 + S14.max_T_1 + S16.max_T_1 + S17.max_T_1 + S19.max_T_1 + S1.max_T_1 + S20.max_T_1 + S2.max_T_1 + S4.max_T_1 + S5.max_T_1 + S6.max_T_1 + S7.max_T_1 + S8.max_T_1 + S9.max_T_1 + S10.media_T_1 + S11.media_T_1 + S12.media_T_1 + S13.media_T_1 + S14.media_T_1 + S16.media_T_1 + S17.media_T_1 + S19.media_T_1 + S1.media_T_1 + S20.media_T_1 + S2.media_T_1 + S3.media_T_1 + S4.media_T_1 + S5.media_T_1 + S6.media_T_1 + S7.media_T_1 + S8.media_T_1 + S9.media_T_1 + S10.min_T_1 + S11.min_T_1 + S12.min_T_1 + S13.min_T_1 + S14.min_T_1 + S16.min_T_1 + S19.min_T_1 + S20.min_T_1 + S2.min_T_1 + S4.min_T_1 + S5.min_T_1 + S6.min_T_1 + S8.min_T_1 + S9.min_T_1 + S10.15hs_T_1 + S11.15hs_T_1 + S12.15hs_T_1 + S13.15hs_T_1 + S16.15hs_T_1 + S20.15hs_T_1 + S3.15hs_T_1 + S4.15hs_T_1 + S5.15hs_T_1 + S8.15hs_T_1 + S9.15hs_T_1 + S11.12hs_T_1 + S13.12hs_T_1 + S14.12hs_T_1 + S15.12hs_T_1 + S16.12hs_T_1 + S17.12hs_T_1 + S18.12hs_T_1 + S19.12hs_T_1 + S1.12hs_T_1 + S20.12hs_T_1 + S2.12hs_T_1 + S3.12hs_T_1 + S6.12hs_T_1 + S7.12hs_T_1 + S8.12hs_T_1 + S9.12hs_T_1 + S10.18hs_T_1 + S13.18hs_T_1 + S17.18hs_T_1 + S20.18hs_T_1 + S2.18hs_T_1 + S3.18hs_T_1 + S4.18hs_T_1 + S5.18hs_T_1 + S6.18hs_T_1 + S7.18hs_T_1 + S8.18hs_T_1 + S9.18hs_T_1 + Est.humedad_min_T_1 + Est.humedad_med_T_1 + Est.temp_max_T_1
## Coefficients:
##         (Intercept)          S10.max_T_2          S11.max_T_2  
##       -0.3114892982        -1.1093485456         0.1217796584  
##         S13.max_T_2          S14.max_T_2          S15.max_T_2  
##        1.0660260586        -0.3900137895        -1.7671445237  
##         S17.max_T_2          S19.max_T_2          S20.max_T_2  
##        0.8443828191        -0.1634561851         1.4498200998  
##          S2.max_T_2           S5.max_T_2           S6.max_T_2  
##       -2.8265471262        -1.5866840214         1.7553756429  
##          S8.max_T_2           S9.max_T_2        S10.media_T_2  
##        0.9389726007         2.4362728678        -1.5333359559  
##       S11.media_T_2        S12.media_T_2        S13.media_T_2  
##       -3.3029847145         5.4708865014        -0.0166581082  
##       S17.media_T_2        S18.media_T_2        S19.media_T_2  
##       -5.0771082379        -4.0793640322        -5.2315564686  
##        S4.media_T_2         S6.media_T_2         S7.media_T_2  
##        9.4701864055        -9.8491753939        19.2402139135  
##        S8.media_T_2         S9.media_T_2          S10.min_T_2  
##       -1.1706866635        -4.0826385223         3.5067666630  
##         S11.min_T_2          S12.min_T_2          S14.min_T_2  
##        0.9658705229         1.9328519194        -0.6970565243  
##         S15.min_T_2          S16.min_T_2          S17.min_T_2  
##        0.0004740995        -1.6512863333         2.7702324156  
##         S18.min_T_2          S19.min_T_2           S1.min_T_2  
##        0.0149255426        -0.9844700953        -1.1575412096  
##         S20.min_T_2           S3.min_T_2           S5.min_T_2  
##        4.4253121103        -0.3072736558        -0.4879100097  
##          S6.min_T_2           S7.min_T_2           S9.min_T_2  
##       -2.3687287213        -0.4913781573        -5.1900908325  
##        S10.15hs_T_2         S11.15hs_T_2         S12.15hs_T_2  
##       -0.8127900692         0.1276898365        -1.7788598068  
##        S13.15hs_T_2         S16.15hs_T_2         S17.15hs_T_2  
##        1.7672720671         0.6737434729        -1.1821650657  
##        S18.15hs_T_2          S1.15hs_T_2         S20.15hs_T_2  
##        4.0545514310        -1.9952996912         1.1435771264  
##         S2.15hs_T_2          S4.15hs_T_2          S6.15hs_T_2  
##        0.0085472676        -0.7198818057         0.9543621610  
##         S9.15hs_T_2         S11.12hs_T_2         S12.12hs_T_2  
##       -2.4506082267        -0.1705503764        -2.9902113078  
##        S16.12hs_T_2         S17.12hs_T_2         S18.12hs_T_2  
##       -1.6361379629         0.9045618955         0.6097771632  
##        S19.12hs_T_2          S1.12hs_T_2         S20.12hs_T_2  
##        0.0126406826        -0.3710371729         0.0472877404  
##         S2.12hs_T_2          S3.12hs_T_2          S4.12hs_T_2  
##        0.3140169709        -0.2679450442        -0.3477276583  
##         S5.12hs_T_2          S7.12hs_T_2          S9.12hs_T_2  
##        2.4799412883        -1.2001699609         2.5085882660  
##        S10.18hs_T_2         S12.18hs_T_2         S13.18hs_T_2  
##       -3.5842503318         2.0767112988        -3.0812796049  
##        S14.18hs_T_2         S15.18hs_T_2         S17.18hs_T_2  
##        2.2630754955         1.2994367579         1.5768462369  
##        S18.18hs_T_2         S19.18hs_T_2          S1.18hs_T_2  
##        0.0432250285         1.7991301517        -0.4068488446  
##        S20.18hs_T_2          S3.18hs_T_2          S5.18hs_T_2  
##       -0.0237568600        -2.4113676397         0.3067195494  
##         S6.18hs_T_2          S7.18hs_T_2          S9.18hs_T_2  
##        0.0465586693        -0.4782775040        -0.1173245003  
## Est.humedad_min_T_2     Est.temp_min_T_2     Est.temp_max_T_2  
##       -0.0682251083         0.2468680203        -0.2326889338  
##         S11.max_T_1          S12.max_T_1          S13.max_T_1  
##        3.1829656992        -1.1963961829         0.1984392454  
##         S14.max_T_1          S16.max_T_1          S17.max_T_1  
##        0.0175047985         0.7637004823        -0.6481560666  
##         S19.max_T_1           S1.max_T_1          S20.max_T_1  
##       -0.7620218519        -1.4625115885        -0.9116999626  
##          S2.max_T_1           S4.max_T_1           S5.max_T_1  
##        2.3652601714         1.6323717175        -0.5878914614  
##          S6.max_T_1           S7.max_T_1           S8.max_T_1  
##       -0.2425793984        -1.5684170635         0.2507855644  
##          S9.max_T_1        S10.media_T_1        S11.media_T_1  
##       -0.3805203496         9.0287700715        -4.0417621469  
##       S12.media_T_1        S13.media_T_1        S14.media_T_1  
##        0.0026861529         1.1225121838        -6.2516548695  
##       S16.media_T_1        S17.media_T_1        S19.media_T_1  
##        4.3620784250         0.1845211462         2.6211377555  
##        S1.media_T_1        S20.media_T_1         S2.media_T_1  
##        3.8034778660        -6.6827531434        -1.8597258449  
##        S3.media_T_1         S4.media_T_1         S5.media_T_1  
##        8.3289587070         2.3571471603        -9.2185612863  
##        S6.media_T_1         S7.media_T_1         S8.media_T_1  
##        3.2496783402        -8.6085117758        13.0386266364  
##        S9.media_T_1          S10.min_T_1          S11.min_T_1  
##       -9.6408816705         1.1804234371         0.5970091343  
##         S12.min_T_1          S13.min_T_1          S14.min_T_1  
##        4.0930761580        -0.9561010054         0.5416723866  
##         S16.min_T_1          S19.min_T_1          S20.min_T_1  
##       -2.8038748331         0.6426297206         1.0902119525  
##          S2.min_T_1           S4.min_T_1           S5.min_T_1  
##        0.1276747809        -0.6591963542         0.2636398478  
##          S6.min_T_1           S8.min_T_1           S9.min_T_1  
##       -1.5326840237        -1.6371884339        -1.0164709614  
##        S10.15hs_T_1         S11.15hs_T_1         S12.15hs_T_1  
##       -0.1501930977        -2.6787067057        -0.0376251415  
##        S13.15hs_T_1         S16.15hs_T_1         S20.15hs_T_1  
##        1.0343658777         0.3157955029         2.7096208832  
##         S3.15hs_T_1          S4.15hs_T_1          S5.15hs_T_1  
##        0.9689433207        -3.1094011234         2.4717485395  
##         S8.15hs_T_1          S9.15hs_T_1         S11.12hs_T_1  
##       -1.7823373661         0.5723874931         0.7140026659  
##        S13.12hs_T_1         S14.12hs_T_1         S15.12hs_T_1  
##       -2.1218873832         1.6996311685        -0.7753029606  
##        S16.12hs_T_1         S17.12hs_T_1         S18.12hs_T_1  
##        0.0278554422        -0.5010153771        -0.5138605561  
##        S19.12hs_T_1          S1.12hs_T_1         S20.12hs_T_1  
##        1.6824511370        -1.4453994283        -1.3612808541  
##         S2.12hs_T_1          S3.12hs_T_1          S6.12hs_T_1  
##        0.3295802078         0.0215274467        -2.9760332262  
##         S7.12hs_T_1          S8.12hs_T_1          S9.12hs_T_1  
##        4.1065510416        -1.7513856293         2.3093691644  
##        S10.18hs_T_1         S13.18hs_T_1         S17.18hs_T_1  
##       -0.8348528978         0.8472077353        -0.1004667619  
##        S20.18hs_T_1          S2.18hs_T_1          S3.18hs_T_1  
##        0.7629241239        -0.1435606249        -0.9320452721  
##         S4.18hs_T_1          S5.18hs_T_1          S6.18hs_T_1  
##        0.8295461286        -2.8224492491         2.6980456729  
##         S7.18hs_T_1          S8.18hs_T_1          S9.18hs_T_1  
##       -2.2733567271        -0.4576760473         1.3888234796  
## Est.humedad_min_T_1  Est.humedad_med_T_1     Est.temp_max_T_1  
##       -0.1133718588         0.1127897265        -0.0568663212  
## Standard deviation of the residuals: 3.618578e-07
bn.fit.qqplot(fitted[[ncol(df)]])

bn.fit.xyplot(fitted[[ncol(df)]])

bn.fit.histogram(fitted[[ncol(df)]])

Markov blanket de las variables de interés para predecir

for(i in 1:length(pred_sensores))
{
  cat("Markov blanket of ",pred_sensores[i],"\n")
  print(mb(res,pred_sensores[i]))
}
## Markov blanket of  S10.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S12.max_T_2"        
##   [4] "S14.max_T_2"         "S15.max_T_2"         "S16.max_T_2"        
##   [7] "S17.max_T_2"         "S18.max_T_2"         "S1.max_T_2"         
##  [10] "S20.max_T_2"         "S2.max_T_2"          "S3.max_T_2"         
##  [13] "S5.max_T_2"          "S6.max_T_2"          "S8.max_T_2"         
##  [16] "S10.media_T_2"       "S11.media_T_2"       "S12.media_T_2"      
##  [19] "S13.media_T_2"       "S15.media_T_2"       "S17.media_T_2"      
##  [22] "S18.media_T_2"       "S20.media_T_2"       "S2.media_T_2"       
##  [25] "S3.media_T_2"        "S4.media_T_2"        "S6.media_T_2"       
##  [28] "S7.media_T_2"        "S8.media_T_2"        "S9.media_T_2"       
##  [31] "S10.min_T_2"         "S12.min_T_2"         "S15.min_T_2"        
##  [34] "S16.min_T_2"         "S17.min_T_2"         "S18.min_T_2"        
##  [37] "S1.min_T_2"          "S20.min_T_2"         "S2.min_T_2"         
##  [40] "S3.min_T_2"          "S4.min_T_2"          "S5.min_T_2"         
##  [43] "S7.min_T_2"          "S8.min_T_2"          "S9.min_T_2"         
##  [46] "S10.15hs_T_2"        "S11.15hs_T_2"        "S12.15hs_T_2"       
##  [49] "S13.15hs_T_2"        "S14.15hs_T_2"        "S16.15hs_T_2"       
##  [52] "S17.15hs_T_2"        "S18.15hs_T_2"        "S19.15hs_T_2"       
##  [55] "S1.15hs_T_2"         "S2.15hs_T_2"         "S3.15hs_T_2"        
##  [58] "S4.15hs_T_2"         "S5.15hs_T_2"         "S6.15hs_T_2"        
##  [61] "S8.15hs_T_2"         "S9.15hs_T_2"         "S10.12hs_T_2"       
##  [64] "S11.12hs_T_2"        "S12.12hs_T_2"        "S14.12hs_T_2"       
##  [67] "S15.12hs_T_2"        "S16.12hs_T_2"        "S17.12hs_T_2"       
##  [70] "S18.12hs_T_2"        "S19.12hs_T_2"        "S1.12hs_T_2"        
##  [73] "S20.12hs_T_2"        "S2.12hs_T_2"         "S3.12hs_T_2"        
##  [76] "S5.12hs_T_2"         "S7.12hs_T_2"         "S8.12hs_T_2"        
##  [79] "S9.12hs_T_2"         "S10.18hs_T_2"        "S11.18hs_T_2"       
##  [82] "S12.18hs_T_2"        "S14.18hs_T_2"        "S15.18hs_T_2"       
##  [85] "S16.18hs_T_2"        "S17.18hs_T_2"        "S18.18hs_T_2"       
##  [88] "S1.18hs_T_2"         "S20.18hs_T_2"        "S2.18hs_T_2"        
##  [91] "S3.18hs_T_2"         "S4.18hs_T_2"         "S6.18hs_T_2"        
##  [94] "S7.18hs_T_2"         "S8.18hs_T_2"         "S9.18hs_T_2"        
##  [97] "Est.humedad_min_T_2" "Est.humedad_med_T_2" "S10.max_T_1"        
## [100] "S11.max_T_1"         "S13.max_T_1"         "S15.max_T_1"        
## [103] "S18.max_T_1"         "S19.max_T_1"         "S20.max_T_1"        
## [106] "S2.max_T_1"          "S3.max_T_1"          "S4.max_T_1"         
## [109] "S6.max_T_1"          "S7.max_T_1"          "S8.max_T_1"         
## [112] "S9.max_T_1"          "S10.media_T_1"       "S13.media_T_1"      
## [115] "S15.media_T_1"       "S16.media_T_1"       "S18.media_T_1"      
## [118] "S20.media_T_1"       "S2.media_T_1"        "S3.media_T_1"       
## [121] "S4.media_T_1"        "S5.media_T_1"        "S6.media_T_1"       
## [124] "S7.media_T_1"        "S8.media_T_1"        "S10.min_T_1"        
## [127] "S11.min_T_1"         "S12.min_T_1"         "S13.min_T_1"        
## [130] "S14.min_T_1"         "S16.min_T_1"         "S18.min_T_1"        
## [133] "S19.min_T_1"         "S20.min_T_1"         "S2.min_T_1"         
## [136] "S3.min_T_1"          "S4.min_T_1"          "S5.min_T_1"         
## [139] "S6.min_T_1"          "S7.min_T_1"          "S8.min_T_1"         
## [142] "S9.min_T_1"          "S10.15hs_T_1"        "S12.15hs_T_1"       
## [145] "S13.15hs_T_1"        "S14.15hs_T_1"        "S16.15hs_T_1"       
## [148] "S17.15hs_T_1"        "S19.15hs_T_1"        "S1.15hs_T_1"        
## [151] "S20.15hs_T_1"        "S3.15hs_T_1"         "S4.15hs_T_1"        
## [154] "S8.15hs_T_1"         "S9.15hs_T_1"         "S10.12hs_T_1"       
## [157] "S13.12hs_T_1"        "S14.12hs_T_1"        "S15.12hs_T_1"       
## [160] "S16.12hs_T_1"        "S17.12hs_T_1"        "S19.12hs_T_1"       
## [163] "S1.12hs_T_1"         "S20.12hs_T_1"        "S2.12hs_T_1"        
## [166] "S3.12hs_T_1"         "S4.12hs_T_1"         "S5.12hs_T_1"        
## [169] "S6.12hs_T_1"         "S7.12hs_T_1"         "S8.12hs_T_1"        
## [172] "S9.12hs_T_1"         "S10.18hs_T_1"        "S11.18hs_T_1"       
## [175] "S12.18hs_T_1"        "S13.18hs_T_1"        "S14.18hs_T_1"       
## [178] "S15.18hs_T_1"        "S16.18hs_T_1"        "S17.18hs_T_1"       
## [181] "S18.18hs_T_1"        "S19.18hs_T_1"        "S1.18hs_T_1"        
## [184] "S20.18hs_T_1"        "S2.18hs_T_1"         "S3.18hs_T_1"        
## [187] "S4.18hs_T_1"         "S5.18hs_T_1"         "S6.18hs_T_1"        
## [190] "S7.18hs_T_1"         "S9.18hs_T_1"         "Est.humedad_min_T_1"
## [193] "Est.temp_min_T_1"    "Est.temp_max_T_1"    "Est.temp_med_T_1"   
## [196] "S11.min_t"           "S20.min_t"           "S6.min_t"           
## Markov blanket of  S11.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S12.max_T_2"        
##   [4] "S13.max_T_2"         "S14.max_T_2"         "S16.max_T_2"        
##   [7] "S17.max_T_2"         "S18.max_T_2"         "S19.max_T_2"        
##  [10] "S1.max_T_2"          "S20.max_T_2"         "S2.max_T_2"         
##  [13] "S5.max_T_2"          "S6.max_T_2"          "S7.max_T_2"         
##  [16] "S9.max_T_2"          "S10.media_T_2"       "S11.media_T_2"      
##  [19] "S12.media_T_2"       "S14.media_T_2"       "S17.media_T_2"      
##  [22] "S18.media_T_2"       "S19.media_T_2"       "S3.media_T_2"       
##  [25] "S4.media_T_2"        "S5.media_T_2"        "S6.media_T_2"       
##  [28] "S7.media_T_2"        "S10.min_T_2"         "S11.min_T_2"        
##  [31] "S12.min_T_2"         "S13.min_T_2"         "S14.min_T_2"        
##  [34] "S15.min_T_2"         "S16.min_T_2"         "S17.min_T_2"        
##  [37] "S18.min_T_2"         "S1.min_T_2"          "S20.min_T_2"        
##  [40] "S2.min_T_2"          "S4.min_T_2"          "S6.min_T_2"         
##  [43] "S7.min_T_2"          "S9.min_T_2"          "S10.15hs_T_2"       
##  [46] "S11.15hs_T_2"        "S12.15hs_T_2"        "S13.15hs_T_2"       
##  [49] "S16.15hs_T_2"        "S17.15hs_T_2"        "S18.15hs_T_2"       
##  [52] "S19.15hs_T_2"        "S1.15hs_T_2"         "S2.15hs_T_2"        
##  [55] "S3.15hs_T_2"         "S4.15hs_T_2"         "S5.15hs_T_2"        
##  [58] "S7.15hs_T_2"         "S9.15hs_T_2"         "S11.12hs_T_2"       
##  [61] "S12.12hs_T_2"        "S14.12hs_T_2"        "S18.12hs_T_2"       
##  [64] "S19.12hs_T_2"        "S1.12hs_T_2"         "S2.12hs_T_2"        
##  [67] "S3.12hs_T_2"         "S7.12hs_T_2"         "S8.12hs_T_2"        
##  [70] "S9.12hs_T_2"         "S10.18hs_T_2"        "S11.18hs_T_2"       
##  [73] "S12.18hs_T_2"        "S13.18hs_T_2"        "S14.18hs_T_2"       
##  [76] "S15.18hs_T_2"        "S16.18hs_T_2"        "S17.18hs_T_2"       
##  [79] "S18.18hs_T_2"        "S19.18hs_T_2"        "S1.18hs_T_2"        
##  [82] "S20.18hs_T_2"        "S4.18hs_T_2"         "S5.18hs_T_2"        
##  [85] "S8.18hs_T_2"         "S9.18hs_T_2"         "Est.humedad_min_T_2"
##  [88] "S10.max_T_1"         "S11.max_T_1"         "S12.max_T_1"        
##  [91] "S13.max_T_1"         "S14.max_T_1"         "S15.max_T_1"        
##  [94] "S17.max_T_1"         "S18.max_T_1"         "S19.max_T_1"        
##  [97] "S1.max_T_1"          "S20.max_T_1"         "S2.max_T_1"         
## [100] "S3.max_T_1"          "S4.max_T_1"          "S5.max_T_1"         
## [103] "S6.max_T_1"          "S7.max_T_1"          "S8.max_T_1"         
## [106] "S9.max_T_1"          "S10.media_T_1"       "S11.media_T_1"      
## [109] "S12.media_T_1"       "S14.media_T_1"       "S16.media_T_1"      
## [112] "S17.media_T_1"       "S18.media_T_1"       "S1.media_T_1"       
## [115] "S20.media_T_1"       "S2.media_T_1"        "S3.media_T_1"       
## [118] "S4.media_T_1"        "S5.media_T_1"        "S6.media_T_1"       
## [121] "S7.media_T_1"        "S8.media_T_1"        "S9.media_T_1"       
## [124] "S10.min_T_1"         "S11.min_T_1"         "S12.min_T_1"        
## [127] "S13.min_T_1"         "S15.min_T_1"         "S16.min_T_1"        
## [130] "S18.min_T_1"         "S19.min_T_1"         "S1.min_T_1"         
## [133] "S20.min_T_1"         "S2.min_T_1"          "S3.min_T_1"         
## [136] "S4.min_T_1"          "S6.min_T_1"          "S7.min_T_1"         
## [139] "S8.min_T_1"          "S10.15hs_T_1"        "S11.15hs_T_1"       
## [142] "S12.15hs_T_1"        "S13.15hs_T_1"        "S14.15hs_T_1"       
## [145] "S16.15hs_T_1"        "S18.15hs_T_1"        "S19.15hs_T_1"       
## [148] "S1.15hs_T_1"         "S2.15hs_T_1"         "S4.15hs_T_1"        
## [151] "S6.15hs_T_1"         "S9.15hs_T_1"         "S11.12hs_T_1"       
## [154] "S12.12hs_T_1"        "S14.12hs_T_1"        "S16.12hs_T_1"       
## [157] "S17.12hs_T_1"        "S18.12hs_T_1"        "S1.12hs_T_1"        
## [160] "S20.12hs_T_1"        "S2.12hs_T_1"         "S3.12hs_T_1"        
## [163] "S4.12hs_T_1"         "S5.12hs_T_1"         "S6.12hs_T_1"        
## [166] "S7.12hs_T_1"         "S8.12hs_T_1"         "S10.18hs_T_1"       
## [169] "S11.18hs_T_1"        "S12.18hs_T_1"        "S13.18hs_T_1"       
## [172] "S14.18hs_T_1"        "S16.18hs_T_1"        "S17.18hs_T_1"       
## [175] "S18.18hs_T_1"        "S19.18hs_T_1"        "S1.18hs_T_1"        
## [178] "S20.18hs_T_1"        "S2.18hs_T_1"         "S4.18hs_T_1"        
## [181] "S6.18hs_T_1"         "S7.18hs_T_1"         "S8.18hs_T_1"        
## [184] "S9.18hs_T_1"         "Est.humedad_min_T_1" "Est.humedad_med_T_1"
## [187] "Est.humedad_max_T_1" "Est.temp_min_T_1"    "Est.temp_max_T_1"   
## [190] "Est.temp_med_T_1"    "S10.min_t"           "S6.min_t"           
## Markov blanket of  S12.min_t 
##  [1] "S11.max_T_2"         "S12.max_T_2"         "S16.max_T_2"        
##  [4] "S19.max_T_2"         "S8.max_T_2"          "S12.media_T_2"      
##  [7] "S15.media_T_2"       "S20.media_T_2"       "S3.media_T_2"       
## [10] "S4.media_T_2"        "S6.media_T_2"        "S10.min_T_2"        
## [13] "S12.min_T_2"         "S16.min_T_2"         "S9.min_T_2"         
## [16] "S12.15hs_T_2"        "S13.15hs_T_2"        "S17.15hs_T_2"       
## [19] "S5.15hs_T_2"         "S6.15hs_T_2"         "S12.12hs_T_2"       
## [22] "S5.12hs_T_2"         "S9.12hs_T_2"         "S10.18hs_T_2"       
## [25] "S12.18hs_T_2"        "S14.18hs_T_2"        "S17.18hs_T_2"       
## [28] "S1.18hs_T_2"         "S4.18hs_T_2"         "S7.18hs_T_2"        
## [31] "Est.temp_min_T_2"    "S12.max_T_1"         "S14.max_T_1"        
## [34] "S17.max_T_1"         "S1.max_T_1"          "S2.max_T_1"         
## [37] "S3.max_T_1"          "S9.max_T_1"          "S12.media_T_1"      
## [40] "S20.media_T_1"       "S5.media_T_1"        "S6.media_T_1"       
## [43] "S8.media_T_1"        "S12.min_T_1"         "S14.min_T_1"        
## [46] "S17.min_T_1"         "S18.min_T_1"         "S20.min_T_1"        
## [49] "S6.min_T_1"          "S8.min_T_1"          "S12.15hs_T_1"       
## [52] "S1.15hs_T_1"         "S2.15hs_T_1"         "S3.15hs_T_1"        
## [55] "S12.12hs_T_1"        "S16.12hs_T_1"        "S18.12hs_T_1"       
## [58] "S4.12hs_T_1"         "S6.12hs_T_1"         "S12.18hs_T_1"       
## [61] "S3.18hs_T_1"         "S4.18hs_T_1"         "Est.humedad_min_T_1"
## Markov blanket of  S13.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S12.max_T_2"        
##   [4] "S13.max_T_2"         "S14.max_T_2"         "S15.max_T_2"        
##   [7] "S17.max_T_2"         "S18.max_T_2"         "S20.max_T_2"        
##  [10] "S2.max_T_2"          "S5.max_T_2"          "S8.max_T_2"         
##  [13] "S9.max_T_2"          "S10.media_T_2"       "S11.media_T_2"      
##  [16] "S12.media_T_2"       "S13.media_T_2"       "S14.media_T_2"      
##  [19] "S15.media_T_2"       "S17.media_T_2"       "S18.media_T_2"      
##  [22] "S19.media_T_2"       "S1.media_T_2"        "S3.media_T_2"       
##  [25] "S6.media_T_2"        "S7.media_T_2"        "S9.media_T_2"       
##  [28] "S10.min_T_2"         "S11.min_T_2"         "S12.min_T_2"        
##  [31] "S13.min_T_2"         "S14.min_T_2"         "S15.min_T_2"        
##  [34] "S16.min_T_2"         "S17.min_T_2"         "S18.min_T_2"        
##  [37] "S19.min_T_2"         "S20.min_T_2"         "S4.min_T_2"         
##  [40] "S8.min_T_2"          "S9.min_T_2"          "S12.15hs_T_2"       
##  [43] "S13.15hs_T_2"        "S14.15hs_T_2"        "S16.15hs_T_2"       
##  [46] "S17.15hs_T_2"        "S18.15hs_T_2"        "S19.15hs_T_2"       
##  [49] "S20.15hs_T_2"        "S2.15hs_T_2"         "S4.15hs_T_2"        
##  [52] "S5.15hs_T_2"         "S7.15hs_T_2"         "S8.15hs_T_2"        
##  [55] "S9.15hs_T_2"         "S11.12hs_T_2"        "S12.12hs_T_2"       
##  [58] "S13.12hs_T_2"        "S15.12hs_T_2"        "S17.12hs_T_2"       
##  [61] "S18.12hs_T_2"        "S19.12hs_T_2"        "S3.12hs_T_2"        
##  [64] "S4.12hs_T_2"         "S5.12hs_T_2"         "S6.12hs_T_2"        
##  [67] "S7.12hs_T_2"         "S8.12hs_T_2"         "S9.12hs_T_2"        
##  [70] "S10.18hs_T_2"        "S11.18hs_T_2"        "S12.18hs_T_2"       
##  [73] "S13.18hs_T_2"        "S14.18hs_T_2"        "S15.18hs_T_2"       
##  [76] "S17.18hs_T_2"        "S18.18hs_T_2"        "S1.18hs_T_2"        
##  [79] "S20.18hs_T_2"        "S2.18hs_T_2"         "S3.18hs_T_2"        
##  [82] "S4.18hs_T_2"         "S5.18hs_T_2"         "S6.18hs_T_2"        
##  [85] "S9.18hs_T_2"         "Est.humedad_min_T_2" "Est.humedad_max_T_2"
##  [88] "S10.max_T_1"         "S13.max_T_1"         "S14.max_T_1"        
##  [91] "S15.max_T_1"         "S17.max_T_1"         "S19.max_T_1"        
##  [94] "S1.max_T_1"          "S2.max_T_1"          "S3.max_T_1"         
##  [97] "S4.max_T_1"          "S5.max_T_1"          "S6.max_T_1"         
## [100] "S8.max_T_1"          "S10.media_T_1"       "S12.media_T_1"      
## [103] "S13.media_T_1"       "S16.media_T_1"       "S17.media_T_1"      
## [106] "S18.media_T_1"       "S19.media_T_1"       "S1.media_T_1"       
## [109] "S20.media_T_1"       "S2.media_T_1"        "S3.media_T_1"       
## [112] "S5.media_T_1"        "S6.media_T_1"        "S7.media_T_1"       
## [115] "S8.media_T_1"        "S9.media_T_1"        "S11.min_T_1"        
## [118] "S12.min_T_1"         "S13.min_T_1"         "S16.min_T_1"        
## [121] "S17.min_T_1"         "S18.min_T_1"         "S19.min_T_1"        
## [124] "S1.min_T_1"          "S2.min_T_1"          "S3.min_T_1"         
## [127] "S4.min_T_1"          "S6.min_T_1"          "S7.min_T_1"         
## [130] "S9.min_T_1"          "S10.15hs_T_1"        "S13.15hs_T_1"       
## [133] "S14.15hs_T_1"        "S16.15hs_T_1"        "S17.15hs_T_1"       
## [136] "S18.15hs_T_1"        "S19.15hs_T_1"        "S20.15hs_T_1"       
## [139] "S2.15hs_T_1"         "S3.15hs_T_1"         "S5.15hs_T_1"        
## [142] "S6.15hs_T_1"         "S7.15hs_T_1"         "S9.15hs_T_1"        
## [145] "S10.12hs_T_1"        "S11.12hs_T_1"        "S12.12hs_T_1"       
## [148] "S13.12hs_T_1"        "S14.12hs_T_1"        "S15.12hs_T_1"       
## [151] "S16.12hs_T_1"        "S17.12hs_T_1"        "S1.12hs_T_1"        
## [154] "S2.12hs_T_1"         "S4.12hs_T_1"         "S6.12hs_T_1"        
## [157] "S7.12hs_T_1"         "S8.12hs_T_1"         "S9.12hs_T_1"        
## [160] "S10.18hs_T_1"        "S11.18hs_T_1"        "S12.18hs_T_1"       
## [163] "S13.18hs_T_1"        "S14.18hs_T_1"        "S15.18hs_T_1"       
## [166] "S17.18hs_T_1"        "S18.18hs_T_1"        "S1.18hs_T_1"        
## [169] "S2.18hs_T_1"         "S3.18hs_T_1"         "S4.18hs_T_1"        
## [172] "S5.18hs_T_1"         "S7.18hs_T_1"         "S8.18hs_T_1"        
## [175] "S9.18hs_T_1"         "Est.humedad_min_T_1"
## Markov blanket of  S14.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S14.max_T_2"        
##   [4] "S16.max_T_2"         "S20.max_T_2"         "S2.max_T_2"         
##   [7] "S5.max_T_2"          "S9.max_T_2"          "S12.media_T_2"      
##  [10] "S13.media_T_2"       "S14.media_T_2"       "S2.media_T_2"       
##  [13] "S4.media_T_2"        "S6.media_T_2"        "S9.media_T_2"       
##  [16] "S12.min_T_2"         "S14.min_T_2"         "S16.min_T_2"        
##  [19] "S20.min_T_2"         "S2.min_T_2"          "S9.min_T_2"         
##  [22] "S12.15hs_T_2"        "S13.15hs_T_2"        "S14.15hs_T_2"       
##  [25] "S17.15hs_T_2"        "S19.15hs_T_2"        "S20.15hs_T_2"       
##  [28] "S2.15hs_T_2"         "S3.15hs_T_2"         "S4.15hs_T_2"        
##  [31] "S5.15hs_T_2"         "S6.15hs_T_2"         "S9.15hs_T_2"        
##  [34] "S10.12hs_T_2"        "S14.12hs_T_2"        "S5.12hs_T_2"        
##  [37] "S8.12hs_T_2"         "S10.18hs_T_2"        "S14.18hs_T_2"       
##  [40] "S16.18hs_T_2"        "S17.18hs_T_2"        "S19.18hs_T_2"       
##  [43] "S20.18hs_T_2"        "S3.18hs_T_2"         "S5.18hs_T_2"        
##  [46] "S6.18hs_T_2"         "S7.18hs_T_2"         "S8.18hs_T_2"        
##  [49] "S9.18hs_T_2"         "Est.humedad_max_T_2" "S11.max_T_1"        
##  [52] "S13.max_T_1"         "S14.max_T_1"         "S17.max_T_1"        
##  [55] "S18.max_T_1"         "S20.max_T_1"         "S2.max_T_1"         
##  [58] "S3.max_T_1"          "S8.max_T_1"          "S9.max_T_1"         
##  [61] "S10.media_T_1"       "S14.media_T_1"       "S17.media_T_1"      
##  [64] "S5.media_T_1"        "S6.media_T_1"        "S7.media_T_1"       
##  [67] "S8.media_T_1"        "S9.media_T_1"        "S10.min_T_1"        
##  [70] "S12.min_T_1"         "S14.min_T_1"         "S16.min_T_1"        
##  [73] "S17.min_T_1"         "S18.min_T_1"         "S6.min_T_1"         
##  [76] "S8.min_T_1"          "S10.15hs_T_1"        "S12.15hs_T_1"       
##  [79] "S14.15hs_T_1"        "S15.15hs_T_1"        "S16.15hs_T_1"       
##  [82] "S18.15hs_T_1"        "S1.15hs_T_1"         "S2.15hs_T_1"        
##  [85] "S3.15hs_T_1"         "S9.15hs_T_1"         "S10.12hs_T_1"       
##  [88] "S13.12hs_T_1"        "S14.12hs_T_1"        "S15.12hs_T_1"       
##  [91] "S18.12hs_T_1"        "S1.12hs_T_1"         "S20.12hs_T_1"       
##  [94] "S4.12hs_T_1"         "S5.12hs_T_1"         "S6.12hs_T_1"        
##  [97] "S7.12hs_T_1"         "S8.12hs_T_1"         "S9.12hs_T_1"        
## [100] "S10.18hs_T_1"        "S11.18hs_T_1"        "S12.18hs_T_1"       
## [103] "S13.18hs_T_1"        "S14.18hs_T_1"        "S15.18hs_T_1"       
## [106] "S17.18hs_T_1"        "S18.18hs_T_1"        "S19.18hs_T_1"       
## [109] "S1.18hs_T_1"         "S20.18hs_T_1"        "S3.18hs_T_1"        
## [112] "S5.18hs_T_1"         "S6.18hs_T_1"         "S7.18hs_T_1"        
## [115] "Est.humedad_med_T_1" "Est.temp_min_T_1"    "Est.temp_max_T_1"   
## [118] "Est.temp_med_T_1"    "S5.min_t"           
## Markov blanket of  S15.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S12.max_T_2"        
##   [4] "S14.max_T_2"         "S15.max_T_2"         "S18.max_T_2"        
##   [7] "S1.max_T_2"          "S20.max_T_2"         "S2.max_T_2"         
##  [10] "S3.max_T_2"          "S5.max_T_2"          "S7.max_T_2"         
##  [13] "S8.max_T_2"          "S9.max_T_2"          "S10.media_T_2"      
##  [16] "S12.media_T_2"       "S13.media_T_2"       "S15.media_T_2"      
##  [19] "S16.media_T_2"       "S17.media_T_2"       "S18.media_T_2"      
##  [22] "S20.media_T_2"       "S4.media_T_2"        "S5.media_T_2"       
##  [25] "S6.media_T_2"        "S9.media_T_2"        "S10.min_T_2"        
##  [28] "S11.min_T_2"         "S12.min_T_2"         "S15.min_T_2"        
##  [31] "S17.min_T_2"         "S18.min_T_2"         "S1.min_T_2"         
##  [34] "S20.min_T_2"         "S2.min_T_2"          "S5.min_T_2"         
##  [37] "S6.min_T_2"          "S8.min_T_2"          "S9.min_T_2"         
##  [40] "S12.15hs_T_2"        "S13.15hs_T_2"        "S14.15hs_T_2"       
##  [43] "S15.15hs_T_2"        "S16.15hs_T_2"        "S17.15hs_T_2"       
##  [46] "S18.15hs_T_2"        "S2.15hs_T_2"         "S3.15hs_T_2"        
##  [49] "S4.15hs_T_2"         "S5.15hs_T_2"         "S6.15hs_T_2"        
##  [52] "S7.15hs_T_2"         "S9.15hs_T_2"         "S10.12hs_T_2"       
##  [55] "S11.12hs_T_2"        "S12.12hs_T_2"        "S14.12hs_T_2"       
##  [58] "S15.12hs_T_2"        "S16.12hs_T_2"        "S17.12hs_T_2"       
##  [61] "S18.12hs_T_2"        "S1.12hs_T_2"         "S20.12hs_T_2"       
##  [64] "S2.12hs_T_2"         "S3.12hs_T_2"         "S5.12hs_T_2"        
##  [67] "S7.12hs_T_2"         "S8.12hs_T_2"         "S10.18hs_T_2"       
##  [70] "S11.18hs_T_2"        "S14.18hs_T_2"        "S15.18hs_T_2"       
##  [73] "S16.18hs_T_2"        "S18.18hs_T_2"        "S1.18hs_T_2"        
##  [76] "S20.18hs_T_2"        "S2.18hs_T_2"         "S3.18hs_T_2"        
##  [79] "S4.18hs_T_2"         "S5.18hs_T_2"         "S6.18hs_T_2"        
##  [82] "S7.18hs_T_2"         "S8.18hs_T_2"         "S9.18hs_T_2"        
##  [85] "Est.humedad_med_T_2" "Est.temp_max_T_2"    "S10.max_T_1"        
##  [88] "S11.max_T_1"         "S14.max_T_1"         "S15.max_T_1"        
##  [91] "S16.max_T_1"         "S17.max_T_1"         "S19.max_T_1"        
##  [94] "S1.max_T_1"          "S20.max_T_1"         "S2.max_T_1"         
##  [97] "S3.max_T_1"          "S4.max_T_1"          "S7.max_T_1"         
## [100] "S8.max_T_1"          "S9.max_T_1"          "S10.media_T_1"      
## [103] "S11.media_T_1"       "S12.media_T_1"       "S13.media_T_1"      
## [106] "S14.media_T_1"       "S15.media_T_1"       "S16.media_T_1"      
## [109] "S18.media_T_1"       "S1.media_T_1"        "S2.media_T_1"       
## [112] "S5.media_T_1"        "S6.media_T_1"        "S7.media_T_1"       
## [115] "S8.media_T_1"        "S9.media_T_1"        "S12.min_T_1"        
## [118] "S13.min_T_1"         "S14.min_T_1"         "S15.min_T_1"        
## [121] "S17.min_T_1"         "S18.min_T_1"         "S19.min_T_1"        
## [124] "S1.min_T_1"          "S2.min_T_1"          "S3.min_T_1"         
## [127] "S4.min_T_1"          "S5.min_T_1"          "S6.min_T_1"         
## [130] "S8.min_T_1"          "S10.15hs_T_1"        "S11.15hs_T_1"       
## [133] "S12.15hs_T_1"        "S15.15hs_T_1"        "S16.15hs_T_1"       
## [136] "S18.15hs_T_1"        "S19.15hs_T_1"        "S1.15hs_T_1"        
## [139] "S20.15hs_T_1"        "S2.15hs_T_1"         "S3.15hs_T_1"        
## [142] "S4.15hs_T_1"         "S5.15hs_T_1"         "S6.15hs_T_1"        
## [145] "S7.15hs_T_1"         "S9.15hs_T_1"         "S10.12hs_T_1"       
## [148] "S11.12hs_T_1"        "S12.12hs_T_1"        "S15.12hs_T_1"       
## [151] "S16.12hs_T_1"        "S18.12hs_T_1"        "S19.12hs_T_1"       
## [154] "S1.12hs_T_1"         "S20.12hs_T_1"        "S2.12hs_T_1"        
## [157] "S3.12hs_T_1"         "S4.12hs_T_1"         "S5.12hs_T_1"        
## [160] "S6.12hs_T_1"         "S7.12hs_T_1"         "S8.12hs_T_1"        
## [163] "S12.18hs_T_1"        "S13.18hs_T_1"        "S14.18hs_T_1"       
## [166] "S15.18hs_T_1"        "S1.18hs_T_1"         "S3.18hs_T_1"        
## [169] "S5.18hs_T_1"         "S6.18hs_T_1"         "S7.18hs_T_1"        
## [172] "S8.18hs_T_1"         "S9.18hs_T_1"         "Est.humedad_min_T_1"
## [175] "Est.humedad_med_T_1" "Est.temp_min_T_1"   
## Markov blanket of  S16.min_t 
##   [1] "S11.max_T_2"         "S12.max_T_2"         "S13.max_T_2"        
##   [4] "S14.max_T_2"         "S15.max_T_2"         "S16.max_T_2"        
##   [7] "S17.max_T_2"         "S20.max_T_2"         "S2.max_T_2"         
##  [10] "S5.max_T_2"          "S6.max_T_2"          "S7.max_T_2"         
##  [13] "S9.max_T_2"          "S10.media_T_2"       "S15.media_T_2"      
##  [16] "S16.media_T_2"       "S17.media_T_2"       "S18.media_T_2"      
##  [19] "S1.media_T_2"        "S2.media_T_2"        "S3.media_T_2"       
##  [22] "S4.media_T_2"        "S6.media_T_2"        "S7.media_T_2"       
##  [25] "S11.min_T_2"         "S12.min_T_2"         "S16.min_T_2"        
##  [28] "S17.min_T_2"         "S18.min_T_2"         "S19.min_T_2"        
##  [31] "S1.min_T_2"          "S2.min_T_2"          "S3.min_T_2"         
##  [34] "S4.min_T_2"          "S5.min_T_2"          "S9.min_T_2"         
##  [37] "S11.15hs_T_2"        "S12.15hs_T_2"        "S13.15hs_T_2"       
##  [40] "S14.15hs_T_2"        "S15.15hs_T_2"        "S16.15hs_T_2"       
##  [43] "S17.15hs_T_2"        "S19.15hs_T_2"        "S1.15hs_T_2"        
##  [46] "S3.15hs_T_2"         "S4.15hs_T_2"         "S5.15hs_T_2"        
##  [49] "S6.15hs_T_2"         "S7.15hs_T_2"         "S9.15hs_T_2"        
##  [52] "S12.12hs_T_2"        "S13.12hs_T_2"        "S14.12hs_T_2"       
##  [55] "S16.12hs_T_2"        "S17.12hs_T_2"        "S18.12hs_T_2"       
##  [58] "S2.12hs_T_2"         "S4.12hs_T_2"         "S6.12hs_T_2"        
##  [61] "S7.12hs_T_2"         "S8.12hs_T_2"         "S10.18hs_T_2"       
##  [64] "S12.18hs_T_2"        "S13.18hs_T_2"        "S14.18hs_T_2"       
##  [67] "S15.18hs_T_2"        "S16.18hs_T_2"        "S17.18hs_T_2"       
##  [70] "S18.18hs_T_2"        "S1.18hs_T_2"         "S20.18hs_T_2"       
##  [73] "S2.18hs_T_2"         "S3.18hs_T_2"         "S4.18hs_T_2"        
##  [76] "S5.18hs_T_2"         "S6.18hs_T_2"         "S7.18hs_T_2"        
##  [79] "S9.18hs_T_2"         "Est.humedad_min_T_2" "Est.temp_med_T_2"   
##  [82] "S10.max_T_1"         "S11.max_T_1"         "S12.max_T_1"        
##  [85] "S13.max_T_1"         "S14.max_T_1"         "S15.max_T_1"        
##  [88] "S16.max_T_1"         "S17.max_T_1"         "S18.max_T_1"        
##  [91] "S1.max_T_1"          "S2.max_T_1"          "S3.max_T_1"         
##  [94] "S4.max_T_1"          "S5.max_T_1"          "S6.max_T_1"         
##  [97] "S7.max_T_1"          "S8.max_T_1"          "S10.media_T_1"      
## [100] "S14.media_T_1"       "S16.media_T_1"       "S17.media_T_1"      
## [103] "S18.media_T_1"       "S19.media_T_1"       "S1.media_T_1"       
## [106] "S20.media_T_1"       "S2.media_T_1"        "S3.media_T_1"       
## [109] "S6.media_T_1"        "S7.media_T_1"        "S9.media_T_1"       
## [112] "S10.min_T_1"         "S12.min_T_1"         "S13.min_T_1"        
## [115] "S14.min_T_1"         "S15.min_T_1"         "S16.min_T_1"        
## [118] "S17.min_T_1"         "S18.min_T_1"         "S19.min_T_1"        
## [121] "S1.min_T_1"          "S20.min_T_1"         "S2.min_T_1"         
## [124] "S3.min_T_1"          "S6.min_T_1"          "S8.min_T_1"         
## [127] "S9.min_T_1"          "S10.15hs_T_1"        "S11.15hs_T_1"       
## [130] "S13.15hs_T_1"        "S14.15hs_T_1"        "S15.15hs_T_1"       
## [133] "S16.15hs_T_1"        "S17.15hs_T_1"        "S18.15hs_T_1"       
## [136] "S1.15hs_T_1"         "S20.15hs_T_1"        "S3.15hs_T_1"        
## [139] "S4.15hs_T_1"         "S5.15hs_T_1"         "S6.15hs_T_1"        
## [142] "S8.15hs_T_1"         "S9.15hs_T_1"         "S11.12hs_T_1"       
## [145] "S12.12hs_T_1"        "S14.12hs_T_1"        "S15.12hs_T_1"       
## [148] "S16.12hs_T_1"        "S17.12hs_T_1"        "S18.12hs_T_1"       
## [151] "S19.12hs_T_1"        "S1.12hs_T_1"         "S20.12hs_T_1"       
## [154] "S3.12hs_T_1"         "S4.12hs_T_1"         "S5.12hs_T_1"        
## [157] "S6.12hs_T_1"         "S7.12hs_T_1"         "S8.12hs_T_1"        
## [160] "S9.12hs_T_1"         "S11.18hs_T_1"        "S12.18hs_T_1"       
## [163] "S13.18hs_T_1"        "S16.18hs_T_1"        "S1.18hs_T_1"        
## [166] "S20.18hs_T_1"        "S5.18hs_T_1"         "S6.18hs_T_1"        
## [169] "S8.18hs_T_1"         "S9.18hs_T_1"         "Est.humedad_min_T_1"
## [172] "Est.humedad_med_T_1" "Est.humedad_max_T_1" "Est.temp_min_T_1"   
## [175] "Est.temp_max_T_1"    "Est.temp_med_T_1"   
## Markov blanket of  S18.min_t 
##  [1] "S18.max_T_2"         "S5.max_T_2"          "S18.media_T_2"      
##  [4] "S4.media_T_2"        "S12.min_T_2"         "S16.min_T_2"        
##  [7] "S18.min_T_2"         "S12.15hs_T_2"        "S13.15hs_T_2"       
## [10] "S18.15hs_T_2"        "S18.12hs_T_2"        "S18.18hs_T_2"       
## [13] "S1.18hs_T_2"         "Est.temp_min_T_2"    "Est.temp_max_T_2"   
## [16] "S13.max_T_1"         "S18.max_T_1"         "S2.max_T_1"         
## [19] "S18.media_T_1"       "S20.media_T_1"       "S8.media_T_1"       
## [22] "S9.media_T_1"        "S15.min_T_1"         "S18.min_T_1"        
## [25] "S18.15hs_T_1"        "S18.12hs_T_1"        "S4.12hs_T_1"        
## [28] "S8.12hs_T_1"         "S12.18hs_T_1"        "S18.18hs_T_1"       
## [31] "Est.humedad_min_T_1"
## Markov blanket of  S19.min_t 
##  [1] "S19.max_T_2"         "S19.media_T_2"       "S4.media_T_2"       
##  [4] "S19.min_T_2"         "S12.15hs_T_2"        "S13.15hs_T_2"       
##  [7] "S14.15hs_T_2"        "S17.15hs_T_2"        "S19.15hs_T_2"       
## [10] "S19.12hs_T_2"        "S10.18hs_T_2"        "S14.18hs_T_2"       
## [13] "S19.18hs_T_2"        "S4.18hs_T_2"         "Est.temp_min_T_2"   
## [16] "S19.max_T_1"         "S13.media_T_1"       "S19.media_T_1"      
## [19] "S2.media_T_1"        "S9.media_T_1"        "S19.min_T_1"        
## [22] "S1.min_T_1"          "S19.15hs_T_1"        "S19.12hs_T_1"       
## [25] "S4.12hs_T_1"         "S12.18hs_T_1"        "S19.18hs_T_1"       
## [28] "Est.humedad_min_T_1"
## Markov blanket of  S1.min_t 
##  [1] "S16.max_T_2"         "S1.max_T_2"          "S4.max_T_2"         
##  [4] "S12.media_T_2"       "S15.media_T_2"       "S17.media_T_2"      
##  [7] "S1.media_T_2"        "S4.media_T_2"        "S6.media_T_2"       
## [10] "S12.min_T_2"         "S16.min_T_2"         "S1.min_T_2"         
## [13] "S13.15hs_T_2"        "S17.15hs_T_2"        "S1.15hs_T_2"        
## [16] "S5.15hs_T_2"         "S19.12hs_T_2"        "S1.12hs_T_2"        
## [19] "S14.18hs_T_2"        "S1.18hs_T_2"         "S6.18hs_T_2"        
## [22] "S9.18hs_T_2"         "Est.temp_min_T_2"    "Est.temp_med_T_2"   
## [25] "S1.max_T_1"          "S2.max_T_1"          "S9.max_T_1"         
## [28] "S13.media_T_1"       "S1.media_T_1"        "S8.media_T_1"       
## [31] "S9.media_T_1"        "S12.min_T_1"         "S1.min_T_1"         
## [34] "S8.min_T_1"          "S12.15hs_T_1"        "S1.15hs_T_1"        
## [37] "S16.12hs_T_1"        "S1.12hs_T_1"         "S4.12hs_T_1"        
## [40] "S1.18hs_T_1"         "S3.18hs_T_1"         "S8.18hs_T_1"        
## [43] "Est.humedad_med_T_1"
## Markov blanket of  S20.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S12.max_T_2"        
##   [4] "S13.max_T_2"         "S14.max_T_2"         "S17.max_T_2"        
##   [7] "S1.max_T_2"          "S20.max_T_2"         "S2.max_T_2"         
##  [10] "S3.max_T_2"          "S4.max_T_2"          "S5.max_T_2"         
##  [13] "S6.max_T_2"          "S8.max_T_2"          "S9.max_T_2"         
##  [16] "S10.media_T_2"       "S11.media_T_2"       "S12.media_T_2"      
##  [19] "S13.media_T_2"       "S15.media_T_2"       "S17.media_T_2"      
##  [22] "S18.media_T_2"       "S19.media_T_2"       "S20.media_T_2"      
##  [25] "S2.media_T_2"        "S3.media_T_2"        "S4.media_T_2"       
##  [28] "S7.media_T_2"        "S8.media_T_2"        "S10.min_T_2"        
##  [31] "S11.min_T_2"         "S12.min_T_2"         "S14.min_T_2"        
##  [34] "S16.min_T_2"         "S17.min_T_2"         "S18.min_T_2"        
##  [37] "S20.min_T_2"         "S2.min_T_2"          "S3.min_T_2"         
##  [40] "S4.min_T_2"          "S5.min_T_2"          "S6.min_T_2"         
##  [43] "S7.min_T_2"          "S8.min_T_2"          "S9.min_T_2"         
##  [46] "S10.15hs_T_2"        "S11.15hs_T_2"        "S12.15hs_T_2"       
##  [49] "S13.15hs_T_2"        "S14.15hs_T_2"        "S15.15hs_T_2"       
##  [52] "S16.15hs_T_2"        "S17.15hs_T_2"        "S18.15hs_T_2"       
##  [55] "S19.15hs_T_2"        "S1.15hs_T_2"         "S20.15hs_T_2"       
##  [58] "S2.15hs_T_2"         "S3.15hs_T_2"         "S4.15hs_T_2"        
##  [61] "S5.15hs_T_2"         "S6.15hs_T_2"         "S7.15hs_T_2"        
##  [64] "S9.15hs_T_2"         "S10.12hs_T_2"        "S11.12hs_T_2"       
##  [67] "S12.12hs_T_2"        "S13.12hs_T_2"        "S14.12hs_T_2"       
##  [70] "S15.12hs_T_2"        "S17.12hs_T_2"        "S18.12hs_T_2"       
##  [73] "S19.12hs_T_2"        "S1.12hs_T_2"         "S20.12hs_T_2"       
##  [76] "S2.12hs_T_2"         "S3.12hs_T_2"         "S5.12hs_T_2"        
##  [79] "S7.12hs_T_2"         "S8.12hs_T_2"         "S9.12hs_T_2"        
##  [82] "S10.18hs_T_2"        "S11.18hs_T_2"        "S12.18hs_T_2"       
##  [85] "S13.18hs_T_2"        "S14.18hs_T_2"        "S15.18hs_T_2"       
##  [88] "S16.18hs_T_2"        "S17.18hs_T_2"        "S18.18hs_T_2"       
##  [91] "S19.18hs_T_2"        "S1.18hs_T_2"         "S20.18hs_T_2"       
##  [94] "S2.18hs_T_2"         "S5.18hs_T_2"         "S6.18hs_T_2"        
##  [97] "S7.18hs_T_2"         "S8.18hs_T_2"         "S9.18hs_T_2"        
## [100] "Est.humedad_min_T_2" "Est.humedad_med_T_2" "Est.humedad_max_T_2"
## [103] "Est.temp_max_T_2"    "Est.temp_med_T_2"    "S10.max_T_1"        
## [106] "S11.max_T_1"         "S12.max_T_1"         "S13.max_T_1"        
## [109] "S14.max_T_1"         "S15.max_T_1"         "S17.max_T_1"        
## [112] "S19.max_T_1"         "S20.max_T_1"         "S2.max_T_1"         
## [115] "S3.max_T_1"          "S4.max_T_1"          "S5.max_T_1"         
## [118] "S6.max_T_1"          "S7.max_T_1"          "S8.max_T_1"         
## [121] "S10.media_T_1"       "S11.media_T_1"       "S12.media_T_1"      
## [124] "S13.media_T_1"       "S14.media_T_1"       "S15.media_T_1"      
## [127] "S16.media_T_1"       "S17.media_T_1"       "S18.media_T_1"      
## [130] "S19.media_T_1"       "S1.media_T_1"        "S20.media_T_1"      
## [133] "S2.media_T_1"        "S3.media_T_1"        "S4.media_T_1"       
## [136] "S5.media_T_1"        "S6.media_T_1"        "S7.media_T_1"       
## [139] "S8.media_T_1"        "S9.media_T_1"        "S12.min_T_1"        
## [142] "S13.min_T_1"         "S14.min_T_1"         "S15.min_T_1"        
## [145] "S16.min_T_1"         "S17.min_T_1"         "S18.min_T_1"        
## [148] "S19.min_T_1"         "S20.min_T_1"         "S2.min_T_1"         
## [151] "S3.min_T_1"          "S4.min_T_1"          "S5.min_T_1"         
## [154] "S7.min_T_1"          "S8.min_T_1"          "S9.min_T_1"         
## [157] "S10.15hs_T_1"        "S11.15hs_T_1"        "S13.15hs_T_1"       
## [160] "S14.15hs_T_1"        "S15.15hs_T_1"        "S16.15hs_T_1"       
## [163] "S19.15hs_T_1"        "S20.15hs_T_1"        "S2.15hs_T_1"        
## [166] "S3.15hs_T_1"         "S4.15hs_T_1"         "S7.15hs_T_1"        
## [169] "S8.15hs_T_1"         "S9.15hs_T_1"         "S10.12hs_T_1"       
## [172] "S14.12hs_T_1"        "S15.12hs_T_1"        "S17.12hs_T_1"       
## [175] "S19.12hs_T_1"        "S1.12hs_T_1"         "S20.12hs_T_1"       
## [178] "S2.12hs_T_1"         "S3.12hs_T_1"         "S4.12hs_T_1"        
## [181] "S5.12hs_T_1"         "S6.12hs_T_1"         "S7.12hs_T_1"        
## [184] "S8.12hs_T_1"         "S9.12hs_T_1"         "S11.18hs_T_1"       
## [187] "S13.18hs_T_1"        "S17.18hs_T_1"        "S18.18hs_T_1"       
## [190] "S20.18hs_T_1"        "S3.18hs_T_1"         "S4.18hs_T_1"        
## [193] "S5.18hs_T_1"         "S7.18hs_T_1"         "S8.18hs_T_1"        
## [196] "Est.humedad_min_T_1" "Est.humedad_med_T_1" "Est.humedad_max_T_1"
## [199] "Est.temp_min_T_1"    "Est.temp_max_T_1"    "S10.min_t"          
## [202] "S6.min_t"            "S8.min_t"           
## Markov blanket of  S2.min_t 
##   [1] "S11.max_T_2"         "S12.max_T_2"         "S13.max_T_2"        
##   [4] "S14.max_T_2"         "S15.max_T_2"         "S16.max_T_2"        
##   [7] "S17.max_T_2"         "S18.max_T_2"         "S1.max_T_2"         
##  [10] "S20.max_T_2"         "S2.max_T_2"          "S3.max_T_2"         
##  [13] "S6.max_T_2"          "S7.max_T_2"          "S8.max_T_2"         
##  [16] "S10.media_T_2"       "S11.media_T_2"       "S12.media_T_2"      
##  [19] "S13.media_T_2"       "S14.media_T_2"       "S17.media_T_2"      
##  [22] "S18.media_T_2"       "S1.media_T_2"        "S20.media_T_2"      
##  [25] "S2.media_T_2"        "S3.media_T_2"        "S4.media_T_2"       
##  [28] "S5.media_T_2"        "S6.media_T_2"        "S7.media_T_2"       
##  [31] "S8.media_T_2"        "S9.media_T_2"        "S10.min_T_2"        
##  [34] "S11.min_T_2"         "S12.min_T_2"         "S13.min_T_2"        
##  [37] "S15.min_T_2"         "S16.min_T_2"         "S17.min_T_2"        
##  [40] "S18.min_T_2"         "S1.min_T_2"          "S20.min_T_2"        
##  [43] "S2.min_T_2"          "S3.min_T_2"          "S5.min_T_2"         
##  [46] "S6.min_T_2"          "S7.min_T_2"          "S8.min_T_2"         
##  [49] "S9.min_T_2"          "S10.15hs_T_2"        "S11.15hs_T_2"       
##  [52] "S12.15hs_T_2"        "S13.15hs_T_2"        "S16.15hs_T_2"       
##  [55] "S17.15hs_T_2"        "S18.15hs_T_2"        "S19.15hs_T_2"       
##  [58] "S1.15hs_T_2"         "S20.15hs_T_2"        "S2.15hs_T_2"        
##  [61] "S4.15hs_T_2"         "S5.15hs_T_2"         "S6.15hs_T_2"        
##  [64] "S9.15hs_T_2"         "S10.12hs_T_2"        "S11.12hs_T_2"       
##  [67] "S12.12hs_T_2"        "S14.12hs_T_2"        "S15.12hs_T_2"       
##  [70] "S17.12hs_T_2"        "S18.12hs_T_2"        "S19.12hs_T_2"       
##  [73] "S1.12hs_T_2"         "S20.12hs_T_2"        "S2.12hs_T_2"        
##  [76] "S5.12hs_T_2"         "S7.12hs_T_2"         "S8.12hs_T_2"        
##  [79] "S9.12hs_T_2"         "S10.18hs_T_2"        "S11.18hs_T_2"       
##  [82] "S12.18hs_T_2"        "S13.18hs_T_2"        "S14.18hs_T_2"       
##  [85] "S15.18hs_T_2"        "S17.18hs_T_2"        "S19.18hs_T_2"       
##  [88] "S1.18hs_T_2"         "S2.18hs_T_2"         "S3.18hs_T_2"        
##  [91] "S5.18hs_T_2"         "S6.18hs_T_2"         "S8.18hs_T_2"        
##  [94] "Est.temp_min_T_2"    "Est.temp_max_T_2"    "Est.temp_med_T_2"   
##  [97] "S11.max_T_1"         "S12.max_T_1"         "S13.max_T_1"        
## [100] "S15.max_T_1"         "S18.max_T_1"         "S1.max_T_1"         
## [103] "S20.max_T_1"         "S2.max_T_1"          "S4.max_T_1"         
## [106] "S5.max_T_1"          "S7.max_T_1"          "S9.max_T_1"         
## [109] "S13.media_T_1"       "S15.media_T_1"       "S16.media_T_1"      
## [112] "S1.media_T_1"        "S2.media_T_1"        "S3.media_T_1"       
## [115] "S4.media_T_1"        "S5.media_T_1"        "S8.media_T_1"       
## [118] "S10.min_T_1"         "S11.min_T_1"         "S12.min_T_1"        
## [121] "S13.min_T_1"         "S14.min_T_1"         "S16.min_T_1"        
## [124] "S17.min_T_1"         "S18.min_T_1"         "S2.min_T_1"         
## [127] "S4.min_T_1"          "S6.min_T_1"          "S8.min_T_1"         
## [130] "S9.min_T_1"          "S13.15hs_T_1"        "S15.15hs_T_1"       
## [133] "S16.15hs_T_1"        "S18.15hs_T_1"        "S19.15hs_T_1"       
## [136] "S1.15hs_T_1"         "S2.15hs_T_1"         "S3.15hs_T_1"        
## [139] "S4.15hs_T_1"         "S5.15hs_T_1"         "S8.15hs_T_1"        
## [142] "S10.12hs_T_1"        "S12.12hs_T_1"        "S13.12hs_T_1"       
## [145] "S14.12hs_T_1"        "S15.12hs_T_1"        "S1.12hs_T_1"        
## [148] "S20.12hs_T_1"        "S2.12hs_T_1"         "S4.12hs_T_1"        
## [151] "S5.12hs_T_1"         "S6.12hs_T_1"         "S7.12hs_T_1"        
## [154] "S8.12hs_T_1"         "S9.12hs_T_1"         "S10.18hs_T_1"       
## [157] "S11.18hs_T_1"        "S12.18hs_T_1"        "S13.18hs_T_1"       
## [160] "S17.18hs_T_1"        "S18.18hs_T_1"        "S19.18hs_T_1"       
## [163] "S1.18hs_T_1"         "S2.18hs_T_1"         "S3.18hs_T_1"        
## [166] "S4.18hs_T_1"         "S5.18hs_T_1"         "S6.18hs_T_1"        
## [169] "S7.18hs_T_1"         "S8.18hs_T_1"         "Est.humedad_min_T_1"
## [172] "Est.humedad_med_T_1" "Est.humedad_max_T_1" "Est.temp_min_T_1"   
## [175] "Est.temp_max_T_1"    "Est.temp_med_T_1"   
## Markov blanket of  S3.min_t 
##  [1] "S11.max_T_2"         "S13.max_T_2"         "S3.max_T_2"         
##  [4] "S12.media_T_2"       "S20.media_T_2"       "S3.media_T_2"       
##  [7] "S4.media_T_2"        "S6.media_T_2"        "S1.min_T_2"         
## [10] "S2.min_T_2"          "S3.min_T_2"          "S8.min_T_2"         
## [13] "S13.15hs_T_2"        "S17.15hs_T_2"        "S3.15hs_T_2"        
## [16] "S5.15hs_T_2"         "S19.12hs_T_2"        "S3.12hs_T_2"        
## [19] "S10.18hs_T_2"        "S14.18hs_T_2"        "S2.18hs_T_2"        
## [22] "S3.18hs_T_2"         "S4.18hs_T_2"         "Est.temp_min_T_2"   
## [25] "S2.max_T_1"          "S3.max_T_1"          "S13.media_T_1"      
## [28] "S19.media_T_1"       "S3.media_T_1"        "S4.media_T_1"       
## [31] "S5.media_T_1"        "S9.media_T_1"        "S12.min_T_1"        
## [34] "S13.min_T_1"         "S3.min_T_1"          "S17.15hs_T_1"       
## [37] "S1.15hs_T_1"         "S3.15hs_T_1"         "S3.12hs_T_1"        
## [40] "S12.18hs_T_1"        "S3.18hs_T_1"         "Est.humedad_min_T_1"
## Markov blanket of  S4.min_t 
##   [1] "S11.max_T_2"         "S12.max_T_2"         "S14.max_T_2"        
##   [4] "S16.max_T_2"         "S17.max_T_2"         "S18.max_T_2"        
##   [7] "S20.max_T_2"         "S2.max_T_2"          "S3.max_T_2"         
##  [10] "S4.max_T_2"          "S5.max_T_2"          "S6.max_T_2"         
##  [13] "S11.media_T_2"       "S13.media_T_2"       "S14.media_T_2"      
##  [16] "S15.media_T_2"       "S17.media_T_2"       "S1.media_T_2"       
##  [19] "S20.media_T_2"       "S2.media_T_2"        "S3.media_T_2"       
##  [22] "S4.media_T_2"        "S7.media_T_2"        "S11.min_T_2"        
##  [25] "S12.min_T_2"         "S14.min_T_2"         "S16.min_T_2"        
##  [28] "S18.min_T_2"         "S19.min_T_2"         "S20.min_T_2"        
##  [31] "S2.min_T_2"          "S4.min_T_2"          "S5.min_T_2"         
##  [34] "S6.min_T_2"          "S7.min_T_2"          "S9.min_T_2"         
##  [37] "S10.15hs_T_2"        "S12.15hs_T_2"        "S13.15hs_T_2"       
##  [40] "S14.15hs_T_2"        "S15.15hs_T_2"        "S16.15hs_T_2"       
##  [43] "S17.15hs_T_2"        "S18.15hs_T_2"        "S19.15hs_T_2"       
##  [46] "S3.15hs_T_2"         "S4.15hs_T_2"         "S5.15hs_T_2"        
##  [49] "S6.15hs_T_2"         "S7.15hs_T_2"         "S8.15hs_T_2"        
##  [52] "S10.12hs_T_2"        "S11.12hs_T_2"        "S12.12hs_T_2"       
##  [55] "S15.12hs_T_2"        "S18.12hs_T_2"        "S19.12hs_T_2"       
##  [58] "S1.12hs_T_2"         "S3.12hs_T_2"         "S4.12hs_T_2"        
##  [61] "S5.12hs_T_2"         "S6.12hs_T_2"         "S7.12hs_T_2"        
##  [64] "S8.12hs_T_2"         "S9.12hs_T_2"         "S10.18hs_T_2"       
##  [67] "S11.18hs_T_2"        "S14.18hs_T_2"        "S15.18hs_T_2"       
##  [70] "S17.18hs_T_2"        "S18.18hs_T_2"        "S1.18hs_T_2"        
##  [73] "S3.18hs_T_2"         "S4.18hs_T_2"         "S5.18hs_T_2"        
##  [76] "S6.18hs_T_2"         "S7.18hs_T_2"         "S8.18hs_T_2"        
##  [79] "S9.18hs_T_2"         "Est.humedad_min_T_2" "Est.humedad_med_T_2"
##  [82] "Est.temp_min_T_2"    "S11.max_T_1"         "S12.max_T_1"        
##  [85] "S13.max_T_1"         "S14.max_T_1"         "S15.max_T_1"        
##  [88] "S16.max_T_1"         "S17.max_T_1"         "S1.max_T_1"         
##  [91] "S20.max_T_1"         "S2.max_T_1"          "S3.max_T_1"         
##  [94] "S4.max_T_1"          "S5.max_T_1"          "S6.max_T_1"         
##  [97] "S7.max_T_1"          "S8.max_T_1"          "S9.max_T_1"         
## [100] "S10.media_T_1"       "S11.media_T_1"       "S12.media_T_1"      
## [103] "S13.media_T_1"       "S14.media_T_1"       "S15.media_T_1"      
## [106] "S17.media_T_1"       "S18.media_T_1"       "S1.media_T_1"       
## [109] "S20.media_T_1"       "S3.media_T_1"        "S4.media_T_1"       
## [112] "S5.media_T_1"        "S6.media_T_1"        "S7.media_T_1"       
## [115] "S8.media_T_1"        "S9.media_T_1"        "S10.min_T_1"        
## [118] "S11.min_T_1"         "S12.min_T_1"         "S13.min_T_1"        
## [121] "S14.min_T_1"         "S17.min_T_1"         "S18.min_T_1"        
## [124] "S19.min_T_1"         "S1.min_T_1"          "S2.min_T_1"         
## [127] "S4.min_T_1"          "S5.min_T_1"          "S6.min_T_1"         
## [130] "S7.min_T_1"          "S8.min_T_1"          "S9.min_T_1"         
## [133] "S10.15hs_T_1"        "S11.15hs_T_1"        "S13.15hs_T_1"       
## [136] "S14.15hs_T_1"        "S15.15hs_T_1"        "S16.15hs_T_1"       
## [139] "S18.15hs_T_1"        "S1.15hs_T_1"         "S20.15hs_T_1"       
## [142] "S2.15hs_T_1"         "S3.15hs_T_1"         "S4.15hs_T_1"        
## [145] "S5.15hs_T_1"         "S6.15hs_T_1"         "S8.15hs_T_1"        
## [148] "S10.12hs_T_1"        "S11.12hs_T_1"        "S12.12hs_T_1"       
## [151] "S14.12hs_T_1"        "S15.12hs_T_1"        "S19.12hs_T_1"       
## [154] "S1.12hs_T_1"         "S20.12hs_T_1"        "S4.12hs_T_1"        
## [157] "S5.12hs_T_1"         "S6.12hs_T_1"         "S7.12hs_T_1"        
## [160] "S8.12hs_T_1"         "S9.12hs_T_1"         "S10.18hs_T_1"       
## [163] "S11.18hs_T_1"        "S13.18hs_T_1"        "S14.18hs_T_1"       
## [166] "S19.18hs_T_1"        "S20.18hs_T_1"        "S2.18hs_T_1"        
## [169] "S3.18hs_T_1"         "S4.18hs_T_1"         "S5.18hs_T_1"        
## [172] "S6.18hs_T_1"         "S7.18hs_T_1"         "S8.18hs_T_1"        
## [175] "S9.18hs_T_1"         "Est.temp_max_T_1"   
## Markov blanket of  S5.min_t 
##   [1] "S10.max_T_2"         "S13.max_T_2"         "S14.max_T_2"        
##   [4] "S15.max_T_2"         "S16.max_T_2"         "S17.max_T_2"        
##   [7] "S18.max_T_2"         "S19.max_T_2"         "S1.max_T_2"         
##  [10] "S20.max_T_2"         "S3.max_T_2"          "S4.max_T_2"         
##  [13] "S5.max_T_2"          "S6.max_T_2"          "S7.max_T_2"         
##  [16] "S8.max_T_2"          "S9.max_T_2"          "S10.media_T_2"      
##  [19] "S11.media_T_2"       "S12.media_T_2"       "S13.media_T_2"      
##  [22] "S15.media_T_2"       "S16.media_T_2"       "S17.media_T_2"      
##  [25] "S18.media_T_2"       "S19.media_T_2"       "S20.media_T_2"      
##  [28] "S2.media_T_2"        "S3.media_T_2"        "S4.media_T_2"       
##  [31] "S5.media_T_2"        "S6.media_T_2"        "S8.media_T_2"       
##  [34] "S9.media_T_2"        "S10.min_T_2"         "S11.min_T_2"        
##  [37] "S12.min_T_2"         "S13.min_T_2"         "S14.min_T_2"        
##  [40] "S15.min_T_2"         "S16.min_T_2"         "S17.min_T_2"        
##  [43] "S18.min_T_2"         "S19.min_T_2"         "S1.min_T_2"         
##  [46] "S20.min_T_2"         "S2.min_T_2"          "S3.min_T_2"         
##  [49] "S4.min_T_2"          "S5.min_T_2"          "S6.min_T_2"         
##  [52] "S7.min_T_2"          "S8.min_T_2"          "S9.min_T_2"         
##  [55] "S10.15hs_T_2"        "S11.15hs_T_2"        "S12.15hs_T_2"       
##  [58] "S13.15hs_T_2"        "S15.15hs_T_2"        "S16.15hs_T_2"       
##  [61] "S17.15hs_T_2"        "S18.15hs_T_2"        "S19.15hs_T_2"       
##  [64] "S1.15hs_T_2"         "S20.15hs_T_2"        "S3.15hs_T_2"        
##  [67] "S4.15hs_T_2"         "S5.15hs_T_2"         "S6.15hs_T_2"        
##  [70] "S7.15hs_T_2"         "S8.15hs_T_2"         "S9.15hs_T_2"        
##  [73] "S10.12hs_T_2"        "S11.12hs_T_2"        "S12.12hs_T_2"       
##  [76] "S13.12hs_T_2"        "S14.12hs_T_2"        "S15.12hs_T_2"       
##  [79] "S16.12hs_T_2"        "S18.12hs_T_2"        "S1.12hs_T_2"        
##  [82] "S20.12hs_T_2"        "S2.12hs_T_2"         "S3.12hs_T_2"        
##  [85] "S4.12hs_T_2"         "S5.12hs_T_2"         "S6.12hs_T_2"        
##  [88] "S7.12hs_T_2"         "S8.12hs_T_2"         "S9.12hs_T_2"        
##  [91] "S10.18hs_T_2"        "S11.18hs_T_2"        "S12.18hs_T_2"       
##  [94] "S14.18hs_T_2"        "S15.18hs_T_2"        "S16.18hs_T_2"       
##  [97] "S17.18hs_T_2"        "S18.18hs_T_2"        "S1.18hs_T_2"        
## [100] "S20.18hs_T_2"        "S2.18hs_T_2"         "S3.18hs_T_2"        
## [103] "S4.18hs_T_2"         "S5.18hs_T_2"         "S6.18hs_T_2"        
## [106] "S7.18hs_T_2"         "S8.18hs_T_2"         "S9.18hs_T_2"        
## [109] "Est.humedad_med_T_2" "Est.humedad_max_T_2" "Est.temp_max_T_2"   
## [112] "S11.max_T_1"         "S12.max_T_1"         "S13.max_T_1"        
## [115] "S14.max_T_1"         "S15.max_T_1"         "S16.max_T_1"        
## [118] "S17.max_T_1"         "S18.max_T_1"         "S19.max_T_1"        
## [121] "S20.max_T_1"         "S2.max_T_1"          "S3.max_T_1"         
## [124] "S4.max_T_1"          "S5.max_T_1"          "S6.max_T_1"         
## [127] "S8.max_T_1"          "S9.max_T_1"          "S3.media_T_1"       
## [130] "S5.media_T_1"        "S8.media_T_1"        "S9.media_T_1"       
## [133] "S12.min_T_1"         "S14.min_T_1"         "S16.min_T_1"        
## [136] "S17.min_T_1"         "S18.min_T_1"         "S19.min_T_1"        
## [139] "S1.min_T_1"          "S20.min_T_1"         "S3.min_T_1"         
## [142] "S5.min_T_1"          "S6.min_T_1"          "S8.min_T_1"         
## [145] "S9.min_T_1"          "S10.15hs_T_1"        "S11.15hs_T_1"       
## [148] "S12.15hs_T_1"        "S14.15hs_T_1"        "S15.15hs_T_1"       
## [151] "S16.15hs_T_1"        "S17.15hs_T_1"        "S18.15hs_T_1"       
## [154] "S19.15hs_T_1"        "S1.15hs_T_1"         "S20.15hs_T_1"       
## [157] "S2.15hs_T_1"         "S3.15hs_T_1"         "S4.15hs_T_1"        
## [160] "S5.15hs_T_1"         "S6.15hs_T_1"         "S7.15hs_T_1"        
## [163] "S8.15hs_T_1"         "S9.15hs_T_1"         "S10.12hs_T_1"       
## [166] "S12.12hs_T_1"        "S13.12hs_T_1"        "S14.12hs_T_1"       
## [169] "S15.12hs_T_1"        "S16.12hs_T_1"        "S18.12hs_T_1"       
## [172] "S19.12hs_T_1"        "S1.12hs_T_1"         "S20.12hs_T_1"       
## [175] "S2.12hs_T_1"         "S4.12hs_T_1"         "S5.12hs_T_1"        
## [178] "S7.12hs_T_1"         "S8.12hs_T_1"         "S9.12hs_T_1"        
## [181] "S10.18hs_T_1"        "S11.18hs_T_1"        "S12.18hs_T_1"       
## [184] "S13.18hs_T_1"        "S14.18hs_T_1"        "S15.18hs_T_1"       
## [187] "S16.18hs_T_1"        "S17.18hs_T_1"        "S18.18hs_T_1"       
## [190] "S19.18hs_T_1"        "S20.18hs_T_1"        "S4.18hs_T_1"        
## [193] "S5.18hs_T_1"         "S6.18hs_T_1"         "S7.18hs_T_1"        
## [196] "S8.18hs_T_1"         "Est.humedad_min_T_1" "Est.humedad_max_T_1"
## [199] "Est.temp_min_T_1"    "Est.temp_max_T_1"    "S14.min_t"          
## Markov blanket of  S6.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S12.max_T_2"        
##   [4] "S13.max_T_2"         "S14.max_T_2"         "S16.max_T_2"        
##   [7] "S17.max_T_2"         "S19.max_T_2"         "S1.max_T_2"         
##  [10] "S20.max_T_2"         "S2.max_T_2"          "S5.max_T_2"         
##  [13] "S6.max_T_2"          "S7.max_T_2"          "S9.max_T_2"         
##  [16] "S12.media_T_2"       "S13.media_T_2"       "S16.media_T_2"      
##  [19] "S17.media_T_2"       "S18.media_T_2"       "S20.media_T_2"      
##  [22] "S2.media_T_2"        "S4.media_T_2"        "S5.media_T_2"       
##  [25] "S6.media_T_2"        "S7.media_T_2"        "S8.media_T_2"       
##  [28] "S9.media_T_2"        "S10.min_T_2"         "S11.min_T_2"        
##  [31] "S13.min_T_2"         "S14.min_T_2"         "S16.min_T_2"        
##  [34] "S17.min_T_2"         "S18.min_T_2"         "S1.min_T_2"         
##  [37] "S2.min_T_2"          "S4.min_T_2"          "S5.min_T_2"         
##  [40] "S6.min_T_2"          "S7.min_T_2"          "S8.min_T_2"         
##  [43] "S9.min_T_2"          "S10.15hs_T_2"        "S11.15hs_T_2"       
##  [46] "S12.15hs_T_2"        "S13.15hs_T_2"        "S14.15hs_T_2"       
##  [49] "S17.15hs_T_2"        "S18.15hs_T_2"        "S19.15hs_T_2"       
##  [52] "S20.15hs_T_2"        "S2.15hs_T_2"         "S3.15hs_T_2"        
##  [55] "S4.15hs_T_2"         "S5.15hs_T_2"         "S6.15hs_T_2"        
##  [58] "S8.15hs_T_2"         "S10.12hs_T_2"        "S11.12hs_T_2"       
##  [61] "S13.12hs_T_2"        "S14.12hs_T_2"        "S16.12hs_T_2"       
##  [64] "S17.12hs_T_2"        "S18.12hs_T_2"        "S19.12hs_T_2"       
##  [67] "S1.12hs_T_2"         "S20.12hs_T_2"        "S2.12hs_T_2"        
##  [70] "S3.12hs_T_2"         "S5.12hs_T_2"         "S6.12hs_T_2"        
##  [73] "S7.12hs_T_2"         "S8.12hs_T_2"         "S9.12hs_T_2"        
##  [76] "S10.18hs_T_2"        "S12.18hs_T_2"        "S13.18hs_T_2"       
##  [79] "S14.18hs_T_2"        "S15.18hs_T_2"        "S16.18hs_T_2"       
##  [82] "S17.18hs_T_2"        "S1.18hs_T_2"         "S20.18hs_T_2"       
##  [85] "S2.18hs_T_2"         "S3.18hs_T_2"         "S4.18hs_T_2"        
##  [88] "S5.18hs_T_2"         "S6.18hs_T_2"         "S7.18hs_T_2"        
##  [91] "S8.18hs_T_2"         "S9.18hs_T_2"         "Est.humedad_min_T_2"
##  [94] "Est.humedad_med_T_2" "Est.humedad_max_T_2" "S10.max_T_1"        
##  [97] "S11.max_T_1"         "S12.max_T_1"         "S13.max_T_1"        
## [100] "S14.max_T_1"         "S15.max_T_1"         "S16.max_T_1"        
## [103] "S17.max_T_1"         "S19.max_T_1"         "S20.max_T_1"        
## [106] "S2.max_T_1"          "S3.max_T_1"          "S4.max_T_1"         
## [109] "S5.max_T_1"          "S6.max_T_1"          "S7.max_T_1"         
## [112] "S8.max_T_1"          "S9.max_T_1"          "S10.media_T_1"      
## [115] "S11.media_T_1"       "S15.media_T_1"       "S18.media_T_1"      
## [118] "S1.media_T_1"        "S20.media_T_1"       "S2.media_T_1"       
## [121] "S3.media_T_1"        "S4.media_T_1"        "S5.media_T_1"       
## [124] "S6.media_T_1"        "S7.media_T_1"        "S8.media_T_1"       
## [127] "S10.min_T_1"         "S11.min_T_1"         "S12.min_T_1"        
## [130] "S13.min_T_1"         "S15.min_T_1"         "S16.min_T_1"        
## [133] "S18.min_T_1"         "S19.min_T_1"         "S1.min_T_1"         
## [136] "S20.min_T_1"         "S2.min_T_1"          "S3.min_T_1"         
## [139] "S4.min_T_1"          "S5.min_T_1"          "S6.min_T_1"         
## [142] "S7.min_T_1"          "S8.min_T_1"          "S10.15hs_T_1"       
## [145] "S11.15hs_T_1"        "S14.15hs_T_1"        "S16.15hs_T_1"       
## [148] "S19.15hs_T_1"        "S20.15hs_T_1"        "S2.15hs_T_1"        
## [151] "S3.15hs_T_1"         "S4.15hs_T_1"         "S5.15hs_T_1"        
## [154] "S6.15hs_T_1"         "S9.15hs_T_1"         "S10.12hs_T_1"       
## [157] "S12.12hs_T_1"        "S17.12hs_T_1"        "S18.12hs_T_1"       
## [160] "S1.12hs_T_1"         "S20.12hs_T_1"        "S2.12hs_T_1"        
## [163] "S3.12hs_T_1"         "S4.12hs_T_1"         "S6.12hs_T_1"        
## [166] "S7.12hs_T_1"         "S8.12hs_T_1"         "S10.18hs_T_1"       
## [169] "S11.18hs_T_1"        "S12.18hs_T_1"        "S13.18hs_T_1"       
## [172] "S14.18hs_T_1"        "S17.18hs_T_1"        "S19.18hs_T_1"       
## [175] "S1.18hs_T_1"         "S20.18hs_T_1"        "S2.18hs_T_1"        
## [178] "S3.18hs_T_1"         "S4.18hs_T_1"         "S5.18hs_T_1"        
## [181] "S6.18hs_T_1"         "S7.18hs_T_1"         "S8.18hs_T_1"        
## [184] "S9.18hs_T_1"         "Est.humedad_min_T_1" "Est.humedad_med_T_1"
## [187] "Est.temp_min_T_1"    "Est.temp_max_T_1"    "S10.min_t"          
## [190] "S11.min_t"           "S20.min_t"          
## Markov blanket of  S7.min_t 
##  [1] "S11.max_T_2"         "S14.max_T_2"         "S20.max_T_2"        
##  [4] "S7.max_T_2"          "S10.media_T_2"       "S12.media_T_2"      
##  [7] "S17.media_T_2"       "S6.media_T_2"        "S7.media_T_2"       
## [10] "S7.min_T_2"          "S12.15hs_T_2"        "S13.15hs_T_2"       
## [13] "S17.15hs_T_2"        "S5.15hs_T_2"         "S7.15hs_T_2"        
## [16] "S4.12hs_T_2"         "S7.12hs_T_2"         "S12.18hs_T_2"       
## [19] "S14.18hs_T_2"        "S15.18hs_T_2"        "S1.18hs_T_2"        
## [22] "S7.18hs_T_2"         "Est.temp_min_T_2"    "S13.max_T_1"        
## [25] "S2.max_T_1"          "S3.max_T_1"          "S7.max_T_1"         
## [28] "S13.media_T_1"       "S3.media_T_1"        "S7.media_T_1"       
## [31] "S8.media_T_1"        "S9.media_T_1"        "S7.min_T_1"         
## [34] "S12.15hs_T_1"        "S3.15hs_T_1"         "S7.15hs_T_1"        
## [37] "S2.12hs_T_1"         "S4.12hs_T_1"         "S7.12hs_T_1"        
## [40] "S12.18hs_T_1"        "S7.18hs_T_1"         "Est.humedad_min_T_1"
## Markov blanket of  S8.min_t 
##   [1] "S11.max_T_2"         "S13.max_T_2"         "S14.max_T_2"        
##   [4] "S15.max_T_2"         "S16.max_T_2"         "S1.max_T_2"         
##   [7] "S20.max_T_2"         "S2.max_T_2"          "S3.max_T_2"         
##  [10] "S5.max_T_2"          "S6.max_T_2"          "S7.max_T_2"         
##  [13] "S8.max_T_2"          "S9.max_T_2"          "S10.media_T_2"      
##  [16] "S11.media_T_2"       "S13.media_T_2"       "S14.media_T_2"      
##  [19] "S15.media_T_2"       "S16.media_T_2"       "S17.media_T_2"      
##  [22] "S19.media_T_2"       "S20.media_T_2"       "S2.media_T_2"       
##  [25] "S3.media_T_2"        "S4.media_T_2"        "S5.media_T_2"       
##  [28] "S6.media_T_2"        "S7.media_T_2"        "S8.media_T_2"       
##  [31] "S9.media_T_2"        "S12.min_T_2"         "S14.min_T_2"        
##  [34] "S16.min_T_2"         "S18.min_T_2"         "S19.min_T_2"        
##  [37] "S1.min_T_2"          "S20.min_T_2"         "S2.min_T_2"         
##  [40] "S3.min_T_2"          "S4.min_T_2"          "S5.min_T_2"         
##  [43] "S6.min_T_2"          "S8.min_T_2"          "S9.min_T_2"         
##  [46] "S10.15hs_T_2"        "S11.15hs_T_2"        "S12.15hs_T_2"       
##  [49] "S13.15hs_T_2"        "S14.15hs_T_2"        "S17.15hs_T_2"       
##  [52] "S18.15hs_T_2"        "S19.15hs_T_2"        "S20.15hs_T_2"       
##  [55] "S2.15hs_T_2"         "S3.15hs_T_2"         "S4.15hs_T_2"        
##  [58] "S5.15hs_T_2"         "S6.15hs_T_2"         "S7.15hs_T_2"        
##  [61] "S8.15hs_T_2"         "S9.15hs_T_2"         "S10.12hs_T_2"       
##  [64] "S12.12hs_T_2"        "S13.12hs_T_2"        "S14.12hs_T_2"       
##  [67] "S15.12hs_T_2"        "S17.12hs_T_2"        "S18.12hs_T_2"       
##  [70] "S19.12hs_T_2"        "S1.12hs_T_2"         "S20.12hs_T_2"       
##  [73] "S3.12hs_T_2"         "S5.12hs_T_2"         "S6.12hs_T_2"        
##  [76] "S7.12hs_T_2"         "S8.12hs_T_2"         "S9.12hs_T_2"        
##  [79] "S10.18hs_T_2"        "S11.18hs_T_2"        "S12.18hs_T_2"       
##  [82] "S14.18hs_T_2"        "S15.18hs_T_2"        "S16.18hs_T_2"       
##  [85] "S18.18hs_T_2"        "S1.18hs_T_2"         "S20.18hs_T_2"       
##  [88] "S2.18hs_T_2"         "S3.18hs_T_2"         "S4.18hs_T_2"        
##  [91] "S5.18hs_T_2"         "S6.18hs_T_2"         "S7.18hs_T_2"        
##  [94] "S8.18hs_T_2"         "S9.18hs_T_2"         "Est.humedad_med_T_2"
##  [97] "Est.humedad_max_T_2" "Est.temp_max_T_2"    "Est.temp_med_T_2"   
## [100] "S12.max_T_1"         "S14.max_T_1"         "S15.max_T_1"        
## [103] "S17.max_T_1"         "S18.max_T_1"         "S1.max_T_1"         
## [106] "S2.max_T_1"          "S3.max_T_1"          "S4.max_T_1"         
## [109] "S6.max_T_1"          "S7.max_T_1"          "S8.max_T_1"         
## [112] "S9.max_T_1"          "S10.media_T_1"       "S11.media_T_1"      
## [115] "S13.media_T_1"       "S14.media_T_1"       "S15.media_T_1"      
## [118] "S16.media_T_1"       "S17.media_T_1"       "S19.media_T_1"      
## [121] "S20.media_T_1"       "S3.media_T_1"        "S4.media_T_1"       
## [124] "S5.media_T_1"        "S6.media_T_1"        "S7.media_T_1"       
## [127] "S8.media_T_1"        "S9.media_T_1"        "S10.min_T_1"        
## [130] "S11.min_T_1"         "S12.min_T_1"         "S13.min_T_1"        
## [133] "S14.min_T_1"         "S15.min_T_1"         "S16.min_T_1"        
## [136] "S17.min_T_1"         "S18.min_T_1"         "S19.min_T_1"        
## [139] "S1.min_T_1"          "S3.min_T_1"          "S8.min_T_1"         
## [142] "S10.15hs_T_1"        "S11.15hs_T_1"        "S12.15hs_T_1"       
## [145] "S13.15hs_T_1"        "S14.15hs_T_1"        "S15.15hs_T_1"       
## [148] "S1.15hs_T_1"         "S20.15hs_T_1"        "S2.15hs_T_1"        
## [151] "S3.15hs_T_1"         "S7.15hs_T_1"         "S8.15hs_T_1"        
## [154] "S9.15hs_T_1"         "S10.12hs_T_1"        "S11.12hs_T_1"       
## [157] "S12.12hs_T_1"        "S14.12hs_T_1"        "S15.12hs_T_1"       
## [160] "S16.12hs_T_1"        "S19.12hs_T_1"        "S20.12hs_T_1"       
## [163] "S3.12hs_T_1"         "S4.12hs_T_1"         "S5.12hs_T_1"        
## [166] "S6.12hs_T_1"         "S7.12hs_T_1"         "S8.12hs_T_1"        
## [169] "S10.18hs_T_1"        "S12.18hs_T_1"        "S16.18hs_T_1"       
## [172] "S17.18hs_T_1"        "S19.18hs_T_1"        "S20.18hs_T_1"       
## [175] "S2.18hs_T_1"         "S5.18hs_T_1"         "S6.18hs_T_1"        
## [178] "S7.18hs_T_1"         "S8.18hs_T_1"         "S9.18hs_T_1"        
## [181] "Est.humedad_min_T_1" "Est.humedad_med_T_1" "Est.humedad_max_T_1"
## [184] "Est.temp_min_T_1"    "Est.temp_max_T_1"    "S20.min_t"          
## Markov blanket of  S9.min_t 
##   [1] "S10.max_T_2"         "S11.max_T_2"         "S13.max_T_2"        
##   [4] "S14.max_T_2"         "S15.max_T_2"         "S17.max_T_2"        
##   [7] "S19.max_T_2"         "S20.max_T_2"         "S2.max_T_2"         
##  [10] "S5.max_T_2"          "S6.max_T_2"          "S8.max_T_2"         
##  [13] "S9.max_T_2"          "S10.media_T_2"       "S11.media_T_2"      
##  [16] "S12.media_T_2"       "S13.media_T_2"       "S17.media_T_2"      
##  [19] "S18.media_T_2"       "S19.media_T_2"       "S4.media_T_2"       
##  [22] "S6.media_T_2"        "S7.media_T_2"        "S8.media_T_2"       
##  [25] "S9.media_T_2"        "S10.min_T_2"         "S11.min_T_2"        
##  [28] "S12.min_T_2"         "S14.min_T_2"         "S15.min_T_2"        
##  [31] "S16.min_T_2"         "S17.min_T_2"         "S18.min_T_2"        
##  [34] "S19.min_T_2"         "S1.min_T_2"          "S20.min_T_2"        
##  [37] "S3.min_T_2"          "S5.min_T_2"          "S6.min_T_2"         
##  [40] "S7.min_T_2"          "S9.min_T_2"          "S10.15hs_T_2"       
##  [43] "S11.15hs_T_2"        "S12.15hs_T_2"        "S13.15hs_T_2"       
##  [46] "S16.15hs_T_2"        "S17.15hs_T_2"        "S18.15hs_T_2"       
##  [49] "S1.15hs_T_2"         "S20.15hs_T_2"        "S2.15hs_T_2"        
##  [52] "S4.15hs_T_2"         "S6.15hs_T_2"         "S9.15hs_T_2"        
##  [55] "S11.12hs_T_2"        "S12.12hs_T_2"        "S16.12hs_T_2"       
##  [58] "S17.12hs_T_2"        "S18.12hs_T_2"        "S19.12hs_T_2"       
##  [61] "S1.12hs_T_2"         "S20.12hs_T_2"        "S2.12hs_T_2"        
##  [64] "S3.12hs_T_2"         "S4.12hs_T_2"         "S5.12hs_T_2"        
##  [67] "S7.12hs_T_2"         "S9.12hs_T_2"         "S10.18hs_T_2"       
##  [70] "S12.18hs_T_2"        "S13.18hs_T_2"        "S14.18hs_T_2"       
##  [73] "S15.18hs_T_2"        "S17.18hs_T_2"        "S18.18hs_T_2"       
##  [76] "S19.18hs_T_2"        "S1.18hs_T_2"         "S20.18hs_T_2"       
##  [79] "S3.18hs_T_2"         "S5.18hs_T_2"         "S6.18hs_T_2"        
##  [82] "S7.18hs_T_2"         "S9.18hs_T_2"         "Est.humedad_min_T_2"
##  [85] "Est.temp_min_T_2"    "Est.temp_max_T_2"    "S11.max_T_1"        
##  [88] "S12.max_T_1"         "S13.max_T_1"         "S14.max_T_1"        
##  [91] "S16.max_T_1"         "S17.max_T_1"         "S19.max_T_1"        
##  [94] "S1.max_T_1"          "S20.max_T_1"         "S2.max_T_1"         
##  [97] "S4.max_T_1"          "S5.max_T_1"          "S6.max_T_1"         
## [100] "S7.max_T_1"          "S8.max_T_1"          "S9.max_T_1"         
## [103] "S10.media_T_1"       "S11.media_T_1"       "S12.media_T_1"      
## [106] "S13.media_T_1"       "S14.media_T_1"       "S16.media_T_1"      
## [109] "S17.media_T_1"       "S19.media_T_1"       "S1.media_T_1"       
## [112] "S20.media_T_1"       "S2.media_T_1"        "S3.media_T_1"       
## [115] "S4.media_T_1"        "S5.media_T_1"        "S6.media_T_1"       
## [118] "S7.media_T_1"        "S8.media_T_1"        "S9.media_T_1"       
## [121] "S10.min_T_1"         "S11.min_T_1"         "S12.min_T_1"        
## [124] "S13.min_T_1"         "S14.min_T_1"         "S16.min_T_1"        
## [127] "S19.min_T_1"         "S20.min_T_1"         "S2.min_T_1"         
## [130] "S4.min_T_1"          "S5.min_T_1"          "S6.min_T_1"         
## [133] "S8.min_T_1"          "S9.min_T_1"          "S10.15hs_T_1"       
## [136] "S11.15hs_T_1"        "S12.15hs_T_1"        "S13.15hs_T_1"       
## [139] "S16.15hs_T_1"        "S20.15hs_T_1"        "S3.15hs_T_1"        
## [142] "S4.15hs_T_1"         "S5.15hs_T_1"         "S8.15hs_T_1"        
## [145] "S9.15hs_T_1"         "S11.12hs_T_1"        "S13.12hs_T_1"       
## [148] "S14.12hs_T_1"        "S15.12hs_T_1"        "S16.12hs_T_1"       
## [151] "S17.12hs_T_1"        "S18.12hs_T_1"        "S19.12hs_T_1"       
## [154] "S1.12hs_T_1"         "S20.12hs_T_1"        "S2.12hs_T_1"        
## [157] "S3.12hs_T_1"         "S6.12hs_T_1"         "S7.12hs_T_1"        
## [160] "S8.12hs_T_1"         "S9.12hs_T_1"         "S10.18hs_T_1"       
## [163] "S13.18hs_T_1"        "S17.18hs_T_1"        "S20.18hs_T_1"       
## [166] "S2.18hs_T_1"         "S3.18hs_T_1"         "S4.18hs_T_1"        
## [169] "S5.18hs_T_1"         "S6.18hs_T_1"         "S7.18hs_T_1"        
## [172] "S8.18hs_T_1"         "S9.18hs_T_1"         "Est.humedad_min_T_1"
## [175] "Est.humedad_med_T_1" "Est.temp_max_T_1"

Predicciones, evaluación en conjunto de testeo, caso regresión predicción temperaturas

df_res <- errors_regression(pred_sensores, fitted, test.set, verbose = FALSE)
## Testing on  S10.min_t 
## Testing on  S11.min_t 
## Testing on  S12.min_t 
## Testing on  S13.min_t 
## Testing on  S14.min_t 
## Testing on  S15.min_t 
## Testing on  S16.min_t 
## Testing on  S18.min_t 
## Testing on  S19.min_t 
## Testing on  S1.min_t 
## Testing on  S20.min_t 
## Testing on  S2.min_t 
## Testing on  S3.min_t 
## Testing on  S4.min_t 
## Testing on  S5.min_t 
## Testing on  S6.min_t 
## Testing on  S7.min_t 
## Testing on  S8.min_t 
## Testing on  S9.min_t
df_res
##     Variable                 ME             RMSE              MAE
## 1  S10.min_t   3.60600518024786  8.7894969590099 6.99916523154261
## 2  S11.min_t   4.88605119295279 10.7624676290499 8.09751638018731
## 3  S12.min_t   3.88066561273278 6.14419442362713 5.01479303477757
## 4  S13.min_t   9.24365769760631 13.1203965963704 10.7540553306959
## 5  S14.min_t -0.246110437194196 5.37040313778999 4.28208970527996
## 6  S15.min_t   8.00265403810435 13.0637337177942 10.7782771480533
## 7  S16.min_t   6.00272335353905 10.8123512058199 8.47588500539109
## 8  S18.min_t -0.249872162007854 3.31128335083729 2.67294035343279
## 9  S19.min_t   1.33117974583723 3.55845612354867 2.84270699960875
## 10  S1.min_t  0.564225915337782 3.76013108078897 2.96490586839661
## 11 S20.min_t 0.0403139508040176 6.82219446139092  5.2745118012074
## 12  S2.min_t   5.44785216657317  10.963686608273 8.64514580240215
## 13  S3.min_t   3.22537687915933 5.02068740939622 4.13141201530236
## 14  S4.min_t  -1.08907587356427 8.54976375211855 6.78458991309805
## 15  S5.min_t  0.147638587509107 3.88034659553729 3.02941125201876
## 16  S6.min_t   2.75219381465485 8.07541099792463  6.4420713130876
## 17  S7.min_t   2.09634850650473 4.55951819082164 3.67845685319888
## 18  S8.min_t   3.29354170697762 9.43608566062138 7.42711789578608
## 19  S9.min_t    3.1301609657569 9.87771508999122 8.09945106515454
##                 MPE             MAPE
## 1               Inf              Inf
## 2              -Inf              Inf
## 3               NaN              Inf
## 4               NaN              Inf
## 5               NaN              Inf
## 6  66.0838225525667 286.419095801187
## 7               NaN              Inf
## 8              -Inf              Inf
## 9               NaN              Inf
## 10             -Inf              Inf
## 11             -Inf              Inf
## 12              Inf              Inf
## 13              Inf              Inf
## 14              NaN              Inf
## 15             -Inf              Inf
## 16              NaN              Inf
## 17             -Inf              Inf
## 18              NaN              Inf
## 19              NaN              Inf

plots de R squared

r2_plots_inline(pred_sensores, fitted, test.set)

llamar confusionMatrix de caret, pasar primero “a factor of predicted classes, then a factor of classes to be used as the true results

breaks.binario <- c(-10,0,50) # caso Helada y no helada
my.breaks <- c(-10,-5,0,2,5,10,50)

Caso binario: helada o no helada

conf_matrix_binario = conf_matrix(fitted,pred_sensores,test.set, breaks.binario)
## Variable  S10.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11     39
##    (0,50]        8     93
##                                           
##                Accuracy : 0.6887          
##                  95% CI : (0.6084, 0.7615)
##     No Information Rate : 0.8742          
##     P-Value [Acc > NIR] : 1               
##                                           
##                   Kappa : 0.1669          
##  Mcnemar's Test P-Value : 1.209e-05       
##                                           
##             Sensitivity : 0.57895         
##             Specificity : 0.70455         
##          Pos Pred Value : 0.22000         
##          Neg Pred Value : 0.92079         
##              Prevalence : 0.12583         
##          Detection Rate : 0.07285         
##    Detection Prevalence : 0.33113         
##       Balanced Accuracy : 0.64175         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      12     38
##    (0,50]        6     86
##                                          
##                Accuracy : 0.6901         
##                  95% CI : (0.6072, 0.765)
##     No Information Rate : 0.8732         
##     P-Value [Acc > NIR] : 1              
##                                          
##                   Kappa : 0.2047         
##  Mcnemar's Test P-Value : 2.962e-06      
##                                          
##             Sensitivity : 0.66667        
##             Specificity : 0.69355        
##          Pos Pred Value : 0.24000        
##          Neg Pred Value : 0.93478        
##              Prevalence : 0.12676        
##          Detection Rate : 0.08451        
##    Detection Prevalence : 0.35211        
##       Balanced Accuracy : 0.68011        
##                                          
##        'Positive' Class : (-10,0]        
##                                          
## Variable  S12.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      15     23
##    (0,50]        4    112
##                                           
##                Accuracy : 0.8247          
##                  95% CI : (0.7553, 0.8812)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.977182        
##                                           
##                   Kappa : 0.4331          
##  Mcnemar's Test P-Value : 0.000532        
##                                           
##             Sensitivity : 0.7895          
##             Specificity : 0.8296          
##          Pos Pred Value : 0.3947          
##          Neg Pred Value : 0.9655          
##              Prevalence : 0.1234          
##          Detection Rate : 0.0974          
##    Detection Prevalence : 0.2468          
##       Balanced Accuracy : 0.8096          
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S13.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       5     55
##    (0,50]        8     60
##                                          
##                Accuracy : 0.5078         
##                  95% CI : (0.418, 0.5972)
##     No Information Rate : 0.8984         
##     P-Value [Acc > NIR] : 1              
##                                          
##                   Kappa : -0.036         
##  Mcnemar's Test P-Value : 6.814e-09      
##                                          
##             Sensitivity : 0.38462        
##             Specificity : 0.52174        
##          Pos Pred Value : 0.08333        
##          Neg Pred Value : 0.88235        
##              Prevalence : 0.10156        
##          Detection Rate : 0.03906        
##    Detection Prevalence : 0.46875        
##       Balanced Accuracy : 0.45318        
##                                          
##        'Positive' Class : (-10,0]        
##                                          
## Variable  S14.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      13     15
##    (0,50]        6    120
##                                           
##                Accuracy : 0.8636          
##                  95% CI : (0.7991, 0.9136)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.73622         
##                                           
##                   Kappa : 0.4762          
##  Mcnemar's Test P-Value : 0.08086         
##                                           
##             Sensitivity : 0.68421         
##             Specificity : 0.88889         
##          Pos Pred Value : 0.46429         
##          Neg Pred Value : 0.95238         
##              Prevalence : 0.12338         
##          Detection Rate : 0.08442         
##    Detection Prevalence : 0.18182         
##       Balanced Accuracy : 0.78655         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S15.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8     45
##    (0,50]        4     67
##                                           
##                Accuracy : 0.6048          
##                  95% CI : (0.5131, 0.6914)
##     No Information Rate : 0.9032          
##     P-Value [Acc > NIR] : 1               
##                                           
##                   Kappa : 0.1049          
##  Mcnemar's Test P-Value : 1.102e-08       
##                                           
##             Sensitivity : 0.66667         
##             Specificity : 0.59821         
##          Pos Pred Value : 0.15094         
##          Neg Pred Value : 0.94366         
##              Prevalence : 0.09677         
##          Detection Rate : 0.06452         
##    Detection Prevalence : 0.42742         
##       Balanced Accuracy : 0.63244         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S16.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       7     36
##    (0,50]        3     87
##                                           
##                Accuracy : 0.7068          
##                  95% CI : (0.6216, 0.7825)
##     No Information Rate : 0.9248          
##     P-Value [Acc > NIR] : 1               
##                                           
##                   Kappa : 0.1619          
##  Mcnemar's Test P-Value : 2.99e-07        
##                                           
##             Sensitivity : 0.70000         
##             Specificity : 0.70732         
##          Pos Pred Value : 0.16279         
##          Neg Pred Value : 0.96667         
##              Prevalence : 0.07519         
##          Detection Rate : 0.05263         
##    Detection Prevalence : 0.32331         
##       Balanced Accuracy : 0.70366         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S18.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       7      3
##    (0,50]       12    132
##                                           
##                Accuracy : 0.9026          
##                  95% CI : (0.8444, 0.9445)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.19770         
##                                           
##                   Kappa : 0.4347          
##  Mcnemar's Test P-Value : 0.03887         
##                                           
##             Sensitivity : 0.36842         
##             Specificity : 0.97778         
##          Pos Pred Value : 0.70000         
##          Neg Pred Value : 0.91667         
##              Prevalence : 0.12338         
##          Detection Rate : 0.04545         
##    Detection Prevalence : 0.06494         
##       Balanced Accuracy : 0.67310         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S19.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      12      8
##    (0,50]        7    127
##                                           
##                Accuracy : 0.9026          
##                  95% CI : (0.8444, 0.9445)
##     No Information Rate : 0.8766          
##     P-Value [Acc > NIR] : 0.1977          
##                                           
##                   Kappa : 0.5597          
##  Mcnemar's Test P-Value : 1.0000          
##                                           
##             Sensitivity : 0.63158         
##             Specificity : 0.94074         
##          Pos Pred Value : 0.60000         
##          Neg Pred Value : 0.94776         
##              Prevalence : 0.12338         
##          Detection Rate : 0.07792         
##    Detection Prevalence : 0.12987         
##       Balanced Accuracy : 0.78616         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S1.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      14      8
##    (0,50]        5    127
##                                         
##                Accuracy : 0.9156        
##                  95% CI : (0.86, 0.9543)
##     No Information Rate : 0.8766        
##     P-Value [Acc > NIR] : 0.0840        
##                                         
##                   Kappa : 0.6345        
##  Mcnemar's Test P-Value : 0.5791        
##                                         
##             Sensitivity : 0.73684       
##             Specificity : 0.94074       
##          Pos Pred Value : 0.63636       
##          Neg Pred Value : 0.96212       
##              Prevalence : 0.12338       
##          Detection Rate : 0.09091       
##    Detection Prevalence : 0.14286       
##       Balanced Accuracy : 0.83879       
##                                         
##        'Positive' Class : (-10,0]       
##                                         
## Variable  S20.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      10     15
##    (0,50]        9    118
##                                           
##                Accuracy : 0.8421          
##                  95% CI : (0.7742, 0.8961)
##     No Information Rate : 0.875           
##     P-Value [Acc > NIR] : 0.9080          
##                                           
##                   Kappa : 0.3642          
##  Mcnemar's Test P-Value : 0.3074          
##                                           
##             Sensitivity : 0.52632         
##             Specificity : 0.88722         
##          Pos Pred Value : 0.40000         
##          Neg Pred Value : 0.92913         
##              Prevalence : 0.12500         
##          Detection Rate : 0.06579         
##    Detection Prevalence : 0.16447         
##       Balanced Accuracy : 0.70677         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S2.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      12     33
##    (0,50]        3     89
##                                           
##                Accuracy : 0.7372          
##                  95% CI : (0.6552, 0.8087)
##     No Information Rate : 0.8905          
##     P-Value [Acc > NIR] : 1               
##                                           
##                   Kappa : 0.2821          
##  Mcnemar's Test P-Value : 1.343e-06       
##                                           
##             Sensitivity : 0.80000         
##             Specificity : 0.72951         
##          Pos Pred Value : 0.26667         
##          Neg Pred Value : 0.96739         
##              Prevalence : 0.10949         
##          Detection Rate : 0.08759         
##    Detection Prevalence : 0.32847         
##       Balanced Accuracy : 0.76475         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S3.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      15     17
##    (0,50]        1    121
##                                           
##                Accuracy : 0.8831          
##                  95% CI : (0.8216, 0.9292)
##     No Information Rate : 0.8961          
##     P-Value [Acc > NIR] : 0.751747        
##                                           
##                   Kappa : 0.5647          
##  Mcnemar's Test P-Value : 0.000407        
##                                           
##             Sensitivity : 0.9375          
##             Specificity : 0.8768          
##          Pos Pred Value : 0.4688          
##          Neg Pred Value : 0.9918          
##              Prevalence : 0.1039          
##          Detection Rate : 0.0974          
##    Detection Prevalence : 0.2078          
##       Balanced Accuracy : 0.9072          
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S4.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      12     18
##    (0,50]        5    113
##                                          
##                Accuracy : 0.8446         
##                  95% CI : (0.776, 0.8989)
##     No Information Rate : 0.8851         
##     P-Value [Acc > NIR] : 0.94807        
##                                          
##                   Kappa : 0.4265         
##  Mcnemar's Test P-Value : 0.01234        
##                                          
##             Sensitivity : 0.70588        
##             Specificity : 0.86260        
##          Pos Pred Value : 0.40000        
##          Neg Pred Value : 0.95763        
##              Prevalence : 0.11486        
##          Detection Rate : 0.08108        
##    Detection Prevalence : 0.20270        
##       Balanced Accuracy : 0.78424        
##                                          
##        'Positive' Class : (-10,0]        
##                                          
## Variable  S5.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       9      4
##    (0,50]       11    130
##                                           
##                Accuracy : 0.9026          
##                  95% CI : (0.8444, 0.9445)
##     No Information Rate : 0.8701          
##     P-Value [Acc > NIR] : 0.1388          
##                                           
##                   Kappa : 0.4936          
##  Mcnemar's Test P-Value : 0.1213          
##                                           
##             Sensitivity : 0.45000         
##             Specificity : 0.97015         
##          Pos Pred Value : 0.69231         
##          Neg Pred Value : 0.92199         
##              Prevalence : 0.12987         
##          Detection Rate : 0.05844         
##    Detection Prevalence : 0.08442         
##       Balanced Accuracy : 0.71007         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S6.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11     27
##    (0,50]        6    108
##                                           
##                Accuracy : 0.7829          
##                  95% CI : (0.7088, 0.8456)
##     No Information Rate : 0.8882          
##     P-Value [Acc > NIR] : 0.9999392       
##                                           
##                   Kappa : 0.2903          
##  Mcnemar's Test P-Value : 0.0004985       
##                                           
##             Sensitivity : 0.64706         
##             Specificity : 0.80000         
##          Pos Pred Value : 0.28947         
##          Neg Pred Value : 0.94737         
##              Prevalence : 0.11184         
##          Detection Rate : 0.07237         
##    Detection Prevalence : 0.25000         
##       Balanced Accuracy : 0.72353         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S7.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]       8      6
##    (0,50]       13    127
##                                           
##                Accuracy : 0.8766          
##                  95% CI : (0.8141, 0.9241)
##     No Information Rate : 0.8636          
##     P-Value [Acc > NIR] : 0.3719          
##                                           
##                   Kappa : 0.3907          
##  Mcnemar's Test P-Value : 0.1687          
##                                           
##             Sensitivity : 0.38095         
##             Specificity : 0.95489         
##          Pos Pred Value : 0.57143         
##          Neg Pred Value : 0.90714         
##              Prevalence : 0.13636         
##          Detection Rate : 0.05195         
##    Detection Prevalence : 0.09091         
##       Balanced Accuracy : 0.66792         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S8.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      11     38
##    (0,50]        7     90
##                                           
##                Accuracy : 0.6918          
##                  95% CI : (0.6101, 0.7655)
##     No Information Rate : 0.8767          
##     P-Value [Acc > NIR] : 1               
##                                           
##                   Kappa : 0.1806          
##  Mcnemar's Test P-Value : 7.744e-06       
##                                           
##             Sensitivity : 0.61111         
##             Specificity : 0.70312         
##          Pos Pred Value : 0.22449         
##          Neg Pred Value : 0.92784         
##              Prevalence : 0.12329         
##          Detection Rate : 0.07534         
##    Detection Prevalence : 0.33562         
##       Balanced Accuracy : 0.65712         
##                                           
##        'Positive' Class : (-10,0]         
##                                           
## Variable  S9.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,0] (0,50]
##    (-10,0]      13     34
##    (0,50]        4     88
##                                           
##                Accuracy : 0.7266          
##                  95% CI : (0.6446, 0.7987)
##     No Information Rate : 0.8777          
##     P-Value [Acc > NIR] : 1               
##                                           
##                   Kappa : 0.2762          
##  Mcnemar's Test P-Value : 2.546e-06       
##                                           
##             Sensitivity : 0.76471         
##             Specificity : 0.72131         
##          Pos Pred Value : 0.27660         
##          Neg Pred Value : 0.95652         
##              Prevalence : 0.12230         
##          Detection Rate : 0.09353         
##    Detection Prevalence : 0.33813         
##       Balanced Accuracy : 0.74301         
##                                           
##        'Positive' Class : (-10,0]         
## 

Evaluación de predicción en rangos de temperaturas

conf_matrix_temp = conf_matrix(fitted,pred_sensores,test.set, my.breaks)
## Variable  S10.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      6     2     1      5       4
##   (-5,0]          0      5     3     6     15       3
##   (0,2]           1      3     4     2      2       3
##   (2,5]           0      2     2     1      2       9
##   (5,10]          0      1     4     5     14      11
##   (10,50]         0      1     0     1     13      20
## 
## Overall Statistics
##                                           
##                Accuracy : 0.2914          
##                  95% CI : (0.2204, 0.3708)
##     No Information Rate : 0.3377          
##     P-Value [Acc > NIR] : 0.9027845       
##                                           
##                   Kappa : 0.1118          
##  Mcnemar's Test P-Value : 0.0001518       
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.27778      0.26667
## Specificity                 0.880000       0.79699      0.91912
## Pos Pred Value              0.000000       0.15625      0.26667
## Neg Pred Value              0.992481       0.89076      0.91912
## Prevalence                  0.006623       0.11921      0.09934
## Detection Rate              0.000000       0.03311      0.02649
## Detection Prevalence        0.119205       0.21192      0.09934
## Balanced Accuracy           0.440000       0.53739      0.59289
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity              0.062500       0.27451         0.4000
## Specificity              0.888889       0.79000         0.8515
## Pos Pred Value           0.062500       0.40000         0.5714
## Neg Pred Value           0.888889       0.68103         0.7414
## Prevalence               0.105960       0.33775         0.3311
## Detection Rate           0.006623       0.09272         0.1325
## Detection Prevalence     0.105960       0.23179         0.2318
## Balanced Accuracy        0.475694       0.53225         0.6257
## Variable  S11.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      3     3     3      4       6
##   (-5,0]          0      9     1     4      7      10
##   (0,2]           0      4     5     3      6       3
##   (2,5]           0      0     4     4      8       3
##   (5,10]          0      1     1     1     10       7
##   (10,50]         0      1     0     0     13      18
## 
## Overall Statistics
##                                           
##                Accuracy : 0.3239          
##                  95% CI : (0.2479, 0.4075)
##     No Information Rate : 0.338           
##     P-Value [Acc > NIR] : 0.6684          
##                                           
##                   Kappa : 0.177           
##  Mcnemar's Test P-Value : 3.037e-06       
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.50000      0.35714
## Specificity                   0.8662       0.82258      0.87500
## Pos Pred Value                    NA       0.29032      0.23810
## Neg Pred Value                    NA       0.91892      0.92562
## Prevalence                    0.0000       0.12676      0.09859
## Detection Rate                0.0000       0.06338      0.03521
## Detection Prevalence          0.1338       0.21831      0.14789
## Balanced Accuracy                 NA       0.66129      0.61607
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.26667       0.20833         0.3830
## Specificity               0.88189       0.89362         0.8526
## Pos Pred Value            0.21053       0.50000         0.5625
## Neg Pred Value            0.91057       0.68852         0.7364
## Prevalence                0.10563       0.33803         0.3310
## Detection Rate            0.02817       0.07042         0.1268
## Detection Prevalence      0.13380       0.14085         0.2254
## Balanced Accuracy         0.57428       0.55098         0.6178
## Variable  S12.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      7     1     1      2       0
##   (-5,0]          0      8     6     5      7       1
##   (0,2]           0      3     3     4      9       5
##   (2,5]           0      1     2     4     11       6
##   (5,10]          0      0     4     1     17      20
##   (10,50]         0      0     0     0      4      22
## 
## Overall Statistics
##                                           
##                Accuracy : 0.3506          
##                  95% CI : (0.2756, 0.4316)
##     No Information Rate : 0.3506          
##     P-Value [Acc > NIR] : 0.5303          
##                                           
##                   Kappa : 0.1875          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.42105      0.18750
## Specificity                  0.92857       0.85926      0.84783
## Pos Pred Value                    NA       0.29630      0.12500
## Neg Pred Value                    NA       0.91339      0.90000
## Prevalence                   0.00000       0.12338      0.10390
## Detection Rate               0.00000       0.05195      0.01948
## Detection Prevalence         0.07143       0.17532      0.15584
## Balanced Accuracy                 NA       0.64016      0.51766
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.26667        0.3400         0.4074
## Specificity               0.85612        0.7596         0.9600
## Pos Pred Value            0.16667        0.4048         0.8462
## Neg Pred Value            0.91538        0.7054         0.7500
## Prevalence                0.09740        0.3247         0.3506
## Detection Rate            0.02597        0.1104         0.1429
## Detection Prevalence      0.15584        0.2727         0.1688
## Balanced Accuracy         0.56139        0.5498         0.6837
## Variable  S13.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      1     0     7      5      10
##   (-5,0]          0      4     5     4     17       7
##   (0,2]           0      3     1     0      2       6
##   (2,5]           0      4     4     0      7       4
##   (5,10]          0      0     1     1      5      12
##   (10,50]         0      1     0     2      3      12
## 
## Overall Statistics
##                                          
##                Accuracy : 0.1719         
##                  95% CI : (0.111, 0.2486)
##     No Information Rate : 0.3984         
##     P-Value [Acc > NIR] : 1              
##                                          
##                   Kappa : 0.0201         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.30769     0.090909
## Specificity                   0.8203       0.71304     0.905983
## Pos Pred Value                    NA       0.10811     0.083333
## Neg Pred Value                    NA       0.90110     0.913793
## Prevalence                    0.0000       0.10156     0.085938
## Detection Rate                0.0000       0.03125     0.007812
## Detection Prevalence          0.1797       0.28906     0.093750
## Balanced Accuracy                 NA       0.51037     0.498446
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity                0.0000       0.12821        0.23529
## Specificity                0.8333       0.84270        0.92208
## Pos Pred Value             0.0000       0.26316        0.66667
## Neg Pred Value             0.8716       0.68807        0.64545
## Prevalence                 0.1094       0.30469        0.39844
## Detection Rate             0.0000       0.03906        0.09375
## Detection Prevalence       0.1484       0.14844        0.14062
## Balanced Accuracy          0.4167       0.48545        0.57869
## Variable  S14.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      3     1     0      1       0
##   (-5,0]          0     10     5     5      3       0
##   (0,2]           1      2     3     2      6       2
##   (2,5]           0      3     2     5      7       0
##   (5,10]          0      0     3     4     13      12
##   (10,50]         0      0     1     0     20      40
## 
## Overall Statistics
##                                           
##                Accuracy : 0.461           
##                  95% CI : (0.3805, 0.5431)
##     No Information Rate : 0.3506          
##     P-Value [Acc > NIR] : 0.003054        
##                                           
##                   Kappa : 0.2856          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.55556      0.20000
## Specificity                 0.967320       0.90441      0.90647
## Pos Pred Value              0.000000       0.43478      0.18750
## Neg Pred Value              0.993289       0.93893      0.91304
## Prevalence                  0.006494       0.11688      0.09740
## Detection Rate              0.000000       0.06494      0.01948
## Detection Prevalence        0.032468       0.14935      0.10390
## Balanced Accuracy           0.483660       0.72998      0.55324
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.31250       0.26000         0.7407
## Specificity               0.91304       0.81731         0.7900
## Pos Pred Value            0.29412       0.40625         0.6557
## Neg Pred Value            0.91971       0.69672         0.8495
## Prevalence                0.10390       0.32468         0.3506
## Detection Rate            0.03247       0.08442         0.2597
## Detection Prevalence      0.11039       0.20779         0.3961
## Balanced Accuracy         0.61277       0.53865         0.7654
## Variable  S15.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      3     3     4      9       5
##   (-5,0]          0      5     2     4     12       6
##   (0,2]           0      2     3     2      3       4
##   (2,5]           0      1     0     4      5       4
##   (5,10]          0      1     4     1      5      12
##   (10,50]         0      0     0     1      5      14
## 
## Overall Statistics
##                                           
##                Accuracy : 0.25            
##                  95% CI : (0.1766, 0.3357)
##     No Information Rate : 0.3629          
##     P-Value [Acc > NIR] : 0.9973          
##                                           
##                   Kappa : 0.1018          
##  Mcnemar's Test P-Value : 2.085e-06       
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.41667      0.25000
## Specificity                   0.8065       0.78571      0.90179
## Pos Pred Value                    NA       0.17241      0.21429
## Neg Pred Value                    NA       0.92632      0.91818
## Prevalence                    0.0000       0.09677      0.09677
## Detection Rate                0.0000       0.04032      0.02419
## Detection Prevalence          0.1935       0.23387      0.11290
## Balanced Accuracy                 NA       0.60119      0.57589
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.25000       0.12821         0.3111
## Specificity               0.90741       0.78824         0.9241
## Pos Pred Value            0.28571       0.21739         0.7000
## Neg Pred Value            0.89091       0.66337         0.7019
## Prevalence                0.12903       0.31452         0.3629
## Detection Rate            0.03226       0.04032         0.1129
## Detection Prevalence      0.11290       0.18548         0.1613
## Balanced Accuracy         0.57870       0.45822         0.6176
## Variable  S16.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      3     2     2      3       5
##   (-5,0]          0      4     3     5      8       8
##   (0,2]           0      1     0     1      5       7
##   (2,5]           0      1     2     2      5       3
##   (5,10]          0      1     1     6     11       8
##   (10,50]         0      0     3     1      7      25
## 
## Overall Statistics
##                                         
##                Accuracy : 0.3158        
##                  95% CI : (0.238, 0.402)
##     No Information Rate : 0.4211        
##     P-Value [Acc > NIR] : 0.9950946     
##                                         
##                   Kappa : 0.1333        
##  Mcnemar's Test P-Value : 0.0009435     
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.40000      0.00000
## Specificity                   0.8872       0.80488      0.88525
## Pos Pred Value                    NA       0.14286      0.00000
## Neg Pred Value                    NA       0.94286      0.90756
## Prevalence                    0.0000       0.07519      0.08271
## Detection Rate                0.0000       0.03008      0.00000
## Detection Prevalence          0.1128       0.21053      0.10526
## Balanced Accuracy                 NA       0.60244      0.44262
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.11765       0.28205         0.4464
## Specificity               0.90517       0.82979         0.8571
## Pos Pred Value            0.15385       0.40741         0.6944
## Neg Pred Value            0.87500       0.73585         0.6804
## Prevalence                0.12782       0.29323         0.4211
## Detection Rate            0.01504       0.08271         0.1880
## Detection Prevalence      0.09774       0.20301         0.2707
## Balanced Accuracy         0.51141       0.55592         0.6518
## Variable  S18.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0      7     2     0      1       0
##   (0,2]           0      8     5     3      2       0
##   (2,5]           0      4     5     8      6       1
##   (5,10]          0      0     4     5     20      11
##   (10,50]         0      0     0     0     21      41
## 
## Overall Statistics
##                                          
##                Accuracy : 0.526          
##                  95% CI : (0.444, 0.6069)
##     No Information Rate : 0.3442         
##     P-Value [Acc > NIR] : 2.791e-06      
##                                          
##                   Kappa : 0.3601         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.36842      0.31250
## Specificity                        1       0.97778      0.90580
## Pos Pred Value                    NA       0.70000      0.27778
## Neg Pred Value                    NA       0.91667      0.91912
## Prevalence                         0       0.12338      0.10390
## Detection Rate                     0       0.04545      0.03247
## Detection Prevalence               0       0.06494      0.11688
## Balanced Accuracy                 NA       0.67310      0.60915
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.50000        0.4000         0.7736
## Specificity               0.88406        0.8077         0.7921
## Pos Pred Value            0.33333        0.5000         0.6613
## Neg Pred Value            0.93846        0.7368         0.8696
## Prevalence                0.10390        0.3247         0.3442
## Detection Rate            0.05195        0.1299         0.2662
## Detection Prevalence      0.15584        0.2597         0.4026
## Balanced Accuracy         0.69203        0.6038         0.7828
## Variable  S19.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      0     0     0      0       0
##   (-5,0]          0     12     5     1      2       0
##   (0,2]           0      5     6     4      4       0
##   (2,5]           0      2     2     8     14       3
##   (5,10]          0      0     2     3     20      17
##   (10,50]         0      0     0     0      9      35
## 
## Overall Statistics
##                                          
##                Accuracy : 0.526          
##                  95% CI : (0.444, 0.6069)
##     No Information Rate : 0.3571         
##     P-Value [Acc > NIR] : 1.367e-05      
##                                          
##                   Kappa : 0.3792         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.63158      0.40000
## Specificity                        1       0.94074      0.90647
## Pos Pred Value                    NA       0.60000      0.31579
## Neg Pred Value                    NA       0.94776      0.93333
## Prevalence                         0       0.12338      0.09740
## Detection Rate                     0       0.07792      0.03896
## Detection Prevalence               0       0.12987      0.12338
## Balanced Accuracy                 NA       0.78616      0.65324
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.50000        0.4082         0.6364
## Specificity               0.84783        0.7905         0.9091
## Pos Pred Value            0.27586        0.4762         0.7955
## Neg Pred Value            0.93600        0.7411         0.8182
## Prevalence                0.10390        0.3182         0.3571
## Detection Rate            0.05195        0.1299         0.2273
## Detection Prevalence      0.18831        0.2727         0.2857
## Balanced Accuracy         0.67391        0.5993         0.7727
## Variable  S1.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      1     0     0      0       0
##   (-5,0]          0     13     5     3      0       0
##   (0,2]           0      4     4     4      4       1
##   (2,5]           0      0     3     7      9       2
##   (5,10]          0      1     4     3     24      12
##   (10,50]         0      0     0     0     10      40
## 
## Overall Statistics
##                                           
##                Accuracy : 0.5714          
##                  95% CI : (0.4893, 0.6508)
##     No Information Rate : 0.3571          
##     P-Value [Acc > NIR] : 4.976e-08       
##                                           
##                   Kappa : 0.4312          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.68421      0.25000
## Specificity                 0.993506       0.94074      0.90580
## Pos Pred Value                    NA       0.61905      0.23529
## Neg Pred Value                    NA       0.95489      0.91241
## Prevalence                  0.000000       0.12338      0.10390
## Detection Rate              0.000000       0.08442      0.02597
## Detection Prevalence        0.006494       0.13636      0.11039
## Balanced Accuracy                 NA       0.81248      0.57790
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.41176        0.5106         0.7273
## Specificity               0.89781        0.8131         0.8990
## Pos Pred Value            0.33333        0.5455         0.8000
## Neg Pred Value            0.92481        0.7909         0.8558
## Prevalence                0.11039        0.3052         0.3571
## Detection Rate            0.04545        0.1558         0.2597
## Detection Prevalence      0.13636        0.2857         0.3247
## Balanced Accuracy         0.65479        0.6619         0.8131
## Variable  S20.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      2     2     0      1       0
##   (-5,0]          0      8     4     3      4       1
##   (0,2]           0      1     2     4      3       0
##   (2,5]           0      5     2     3      7       3
##   (5,10]          1      2     2     2     17      17
##   (10,50]         0      0     3     3     13      37
## 
## Overall Statistics
##                                           
##                Accuracy : 0.4408          
##                  95% CI : (0.3604, 0.5235)
##     No Information Rate : 0.3816          
##     P-Value [Acc > NIR] : 0.07875         
##                                           
##                   Kappa : 0.2487          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.44444      0.13333
## Specificity                 0.966887       0.91045      0.94161
## Pos Pred Value              0.000000       0.40000      0.20000
## Neg Pred Value              0.993197       0.92424      0.90845
## Prevalence                  0.006579       0.11842      0.09868
## Detection Rate              0.000000       0.05263      0.01316
## Detection Prevalence        0.032895       0.13158      0.06579
## Balanced Accuracy           0.483444       0.67745      0.53747
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.20000        0.3778         0.6379
## Specificity               0.87591        0.7757         0.7979
## Pos Pred Value            0.15000        0.4146         0.6607
## Neg Pred Value            0.90909        0.7477         0.7813
## Prevalence                0.09868        0.2961         0.3816
## Detection Rate            0.01974        0.1118         0.2434
## Detection Prevalence      0.13158        0.2697         0.3684
## Balanced Accuracy         0.53796        0.5767         0.7179
## Variable  S2.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      6     2     4      2       3
##   (-5,0]          0      6     2     2     10       8
##   (0,2]           0      1     2     5      5       9
##   (2,5]           0      1     1     2      5       1
##   (5,10]          0      1     4     1     12      11
##   (10,50]         0      0     1     2     12      16
## 
## Overall Statistics
##                                           
##                Accuracy : 0.2774          
##                  95% CI : (0.2043, 0.3603)
##     No Information Rate : 0.3504          
##     P-Value [Acc > NIR] : 0.9718          
##                                           
##                   Kappa : 0.102           
##  Mcnemar's Test P-Value : 6.988e-05       
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA        0.4000      0.16667
## Specificity                   0.8759        0.8197      0.84000
## Pos Pred Value                    NA        0.2143      0.09091
## Neg Pred Value                    NA        0.9174      0.91304
## Prevalence                    0.0000        0.1095      0.08759
## Detection Rate                0.0000        0.0438      0.01460
## Detection Prevalence          0.1241        0.2044      0.16058
## Balanced Accuracy                 NA        0.6098      0.50333
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.12500       0.26087         0.3333
## Specificity               0.93388       0.81319         0.8315
## Pos Pred Value            0.20000       0.41379         0.5161
## Neg Pred Value            0.88976       0.68519         0.6981
## Prevalence                0.11679       0.33577         0.3504
## Detection Rate            0.01460       0.08759         0.1168
## Detection Prevalence      0.07299       0.21168         0.2263
## Balanced Accuracy         0.52944       0.53703         0.5824
## Variable  S3.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      3     0     0      0       0
##   (-5,0]          0     12     7     5      5       0
##   (0,2]           0      1     7     3      3       5
##   (2,5]           0      0     2     8     16       8
##   (5,10]          0      0     3     0     14      23
##   (10,50]         0      0     0     0      3      26
## 
## Overall Statistics
##                                           
##                Accuracy : 0.4351          
##                  95% CI : (0.3555, 0.5172)
##     No Information Rate : 0.4026          
##     P-Value [Acc > NIR] : 0.2291          
##                                           
##                   Kappa : 0.2914          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.75000      0.36842
## Specificity                  0.98052       0.87681      0.91111
## Pos Pred Value                    NA       0.41379      0.36842
## Neg Pred Value                    NA       0.96800      0.91111
## Prevalence                   0.00000       0.10390      0.12338
## Detection Rate               0.00000       0.07792      0.04545
## Detection Prevalence         0.01948       0.18831      0.12338
## Balanced Accuracy                 NA       0.81341      0.63977
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.50000       0.34146         0.4194
## Specificity               0.81159       0.76991         0.9674
## Pos Pred Value            0.23529       0.35000         0.8966
## Neg Pred Value            0.93333       0.76316         0.7120
## Prevalence                0.10390       0.26623         0.4026
## Detection Rate            0.05195       0.09091         0.1688
## Detection Prevalence      0.22078       0.25974         0.1883
## Balanced Accuracy         0.65580       0.55569         0.6934
## Variable  S4.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      5     4     1      0       0
##   (-5,0]          0      7     2     1      8       2
##   (0,2]           0      1     2     3      1       0
##   (2,5]           0      0     1     2      9       4
##   (5,10]          0      3     3     6     10      10
##   (10,50]         0      1     4     2     19      37
## 
## Overall Statistics
##                                           
##                Accuracy : 0.3919          
##                  95% CI : (0.3128, 0.4754)
##     No Information Rate : 0.3581          
##     P-Value [Acc > NIR] : 0.2193          
##                                           
##                   Kappa : 0.1863          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA        0.4118      0.12500
## Specificity                  0.93243        0.9008      0.96212
## Pos Pred Value                    NA        0.3500      0.28571
## Neg Pred Value                    NA        0.9219      0.90071
## Prevalence                   0.00000        0.1149      0.10811
## Detection Rate               0.00000        0.0473      0.01351
## Detection Prevalence         0.06757        0.1351      0.04730
## Balanced Accuracy                 NA        0.6563      0.54356
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.13333       0.21277         0.6981
## Specificity               0.89474       0.78218         0.7263
## Pos Pred Value            0.12500       0.31250         0.5873
## Neg Pred Value            0.90152       0.68103         0.8118
## Prevalence                0.10135       0.31757         0.3581
## Detection Rate            0.01351       0.06757         0.2500
## Detection Prevalence      0.10811       0.21622         0.4257
## Balanced Accuracy         0.51404       0.49747         0.7122
## Variable  S5.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      1     0     0      0       0
##   (-5,0]          1      7     3     1      0       0
##   (0,2]           0      5     3     2      2       0
##   (2,5]           0      5     6     7     12       2
##   (5,10]          0      1     2     5     19      16
##   (10,50]         0      0     1     0     14      39
## 
## Overall Statistics
##                                           
##                Accuracy : 0.487           
##                  95% CI : (0.4058, 0.5688)
##     No Information Rate : 0.3701          
##     P-Value [Acc > NIR] : 0.00199         
##                                           
##                   Kappa : 0.3137          
##  Mcnemar's Test P-Value : NA              
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.36842      0.20000
## Specificity                 0.993464       0.96296      0.93525
## Pos Pred Value              0.000000       0.58333      0.25000
## Neg Pred Value              0.993464       0.91549      0.91549
## Prevalence                  0.006494       0.12338      0.09740
## Detection Rate              0.000000       0.04545      0.01948
## Detection Prevalence        0.006494       0.07792      0.07792
## Balanced Accuracy           0.496732       0.66569      0.56763
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.46667        0.4043         0.6842
## Specificity               0.82014        0.7757         0.8454
## Pos Pred Value            0.21875        0.4419         0.7222
## Neg Pred Value            0.93443        0.7477         0.8200
## Prevalence                0.09740        0.3052         0.3701
## Detection Rate            0.04545        0.1234         0.2532
## Detection Prevalence      0.20779        0.2792         0.3506
## Balanced Accuracy         0.64341        0.5900         0.7648
## Variable  S6.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      3     1     1      2       2
##   (-5,0]          0      8     2     5      5       9
##   (0,2]           0      2     3     2      5       5
##   (2,5]           0      4     2     2      3       7
##   (5,10]          0      0     5     4     16      15
##   (10,50]         0      0     1     2     11      25
## 
## Overall Statistics
##                                           
##                Accuracy : 0.3553          
##                  95% CI : (0.2794, 0.4369)
##     No Information Rate : 0.4145          
##     P-Value [Acc > NIR] : 0.94207         
##                                           
##                   Kappa : 0.17            
##  Mcnemar's Test P-Value : 0.01465         
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.47059      0.21429
## Specificity                  0.94079       0.84444      0.89855
## Pos Pred Value                    NA       0.27586      0.17647
## Neg Pred Value                    NA       0.92683      0.91852
## Prevalence                   0.00000       0.11184      0.09211
## Detection Rate               0.00000       0.05263      0.01974
## Detection Prevalence         0.05921       0.19079      0.11184
## Balanced Accuracy                 NA       0.65752      0.55642
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.12500        0.3810         0.3968
## Specificity               0.88235        0.7818         0.8427
## Pos Pred Value            0.11111        0.4000         0.6410
## Neg Pred Value            0.89552        0.7679         0.6637
## Prevalence                0.10526        0.2763         0.4145
## Detection Rate            0.01316        0.1053         0.1645
## Detection Prevalence      0.11842        0.2632         0.2566
## Balanced Accuracy         0.50368        0.5814         0.6198
## Variable  S7.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      1     0     0      0       0
##   (-5,0]          0      7     3     3      0       0
##   (0,2]           1      9     4     4      5       0
##   (2,5]           0      3     6     5     14       7
##   (5,10]          0      0     1     5     24      27
##   (10,50]         0      0     1     0      5      19
## 
## Overall Statistics
##                                          
##                Accuracy : 0.3831         
##                  95% CI : (0.306, 0.4648)
##     No Information Rate : 0.3442         
##     P-Value [Acc > NIR] : 0.1751         
##                                          
##                   Kappa : 0.2072         
##  Mcnemar's Test P-Value : NA             
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                 0.000000       0.35000      0.26667
## Specificity                 0.993464       0.95522      0.86331
## Pos Pred Value              0.000000       0.53846      0.17391
## Neg Pred Value              0.993464       0.90780      0.91603
## Prevalence                  0.006494       0.12987      0.09740
## Detection Rate              0.000000       0.04545      0.02597
## Detection Prevalence        0.006494       0.08442      0.14935
## Balanced Accuracy           0.496732       0.65261      0.56499
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity               0.29412        0.5000         0.3585
## Specificity               0.78102        0.6887         0.9406
## Pos Pred Value            0.14286        0.4211         0.7600
## Neg Pred Value            0.89916        0.7526         0.7364
## Prevalence                0.11039        0.3117         0.3442
## Detection Rate            0.03247        0.1558         0.1234
## Detection Prevalence      0.22727        0.3701         0.1623
## Balanced Accuracy         0.53757        0.5943         0.6495
## Variable  S8.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      3     1     1      9       5
##   (-5,0]          0      8     2     5     10       5
##   (0,2]           0      3     2     2      3       1
##   (2,5]           0      3     0     4      7       3
##   (5,10]          0      1     4     3      9       8
##   (10,50]         0      0     2     2     10      30
## 
## Overall Statistics
##                                           
##                Accuracy : 0.363           
##                  95% CI : (0.2851, 0.4466)
##     No Information Rate : 0.3562          
##     P-Value [Acc > NIR] : 0.462312        
##                                           
##                   Kappa : 0.1955          
##  Mcnemar's Test P-Value : 0.001466        
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                       NA       0.44444      0.18182
## Specificity                   0.8699       0.82812      0.93333
## Pos Pred Value                    NA       0.26667      0.18182
## Neg Pred Value                    NA       0.91379      0.93333
## Prevalence                    0.0000       0.12329      0.07534
## Detection Rate                0.0000       0.05479      0.01370
## Detection Prevalence          0.1301       0.20548      0.07534
## Balanced Accuracy                 NA       0.63628      0.55758
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity                0.2353       0.18750         0.5769
## Specificity                0.8992       0.83673         0.8511
## Pos Pred Value             0.2353       0.36000         0.6818
## Neg Pred Value             0.8992       0.67769         0.7843
## Prevalence                 0.1164       0.32877         0.3562
## Detection Rate             0.0274       0.06164         0.2055
## Detection Prevalence       0.1164       0.17123         0.3014
## Balanced Accuracy          0.5673       0.51212         0.7140
## Variable  S9.min_t 
## Confusion Matrix and Statistics
## 
##           Reference
## Prediction (-10,-5] (-5,0] (0,2] (2,5] (5,10] (10,50]
##   (-10,-5]        0      6     4     2      2       2
##   (-5,0]          2      5     6     6     10       2
##   (0,2]           0      0     0     3      6       1
##   (2,5]           0      0     2     0      8       5
##   (5,10]          0      3     1     3      6       8
##   (10,50]         0      1     0     1     15      29
## 
## Overall Statistics
##                                           
##                Accuracy : 0.2878          
##                  95% CI : (0.2142, 0.3706)
##     No Information Rate : 0.3381          
##     P-Value [Acc > NIR] : 0.9120812       
##                                           
##                   Kappa : 0.1018          
##  Mcnemar's Test P-Value : 0.0004624       
## 
## Statistics by Class:
## 
##                      Class: (-10,-5] Class: (-5,0] Class: (0,2]
## Sensitivity                  0.00000       0.33333      0.00000
## Specificity                  0.88321       0.79032      0.92063
## Pos Pred Value               0.00000       0.16129      0.00000
## Neg Pred Value               0.98374       0.90741      0.89922
## Prevalence                   0.01439       0.10791      0.09353
## Detection Rate               0.00000       0.03597      0.00000
## Detection Prevalence         0.11511       0.22302      0.07194
## Balanced Accuracy            0.44161       0.56183      0.46032
##                      Class: (2,5] Class: (5,10] Class: (10,50]
## Sensitivity                0.0000       0.12766         0.6170
## Specificity                0.8790       0.83696         0.8152
## Pos Pred Value             0.0000       0.28571         0.6304
## Neg Pred Value             0.8790       0.65254         0.8065
## Prevalence                 0.1079       0.33813         0.3381
## Detection Rate             0.0000       0.04317         0.2086
## Detection Prevalence       0.1079       0.15108         0.3309
## Balanced Accuracy          0.4395       0.48231         0.7161